A baraminology tutorial with examples from the grasses (Poaceae)
by Todd Charles Wood
Creationist biosystematics has existed since Frank Marsh coined the term baramin
in 1941. Unfortunately, actual research into identifying baramins has been sparse.
In the past decade, creation biologists have worked to develop a systematic methodology
called baraminology. This paper presents a short tutorial on some of the techniques
now in use to identify and study baramins. Readers are encouraged to use the information
in this paper as a starting point for baraminology research of their own.
The biological discipline of systematics was developed to discover natural groupings
of organisms, such as species. A new systematic method, baraminology, specifically
pertains to creationists.1
Baraminology seeks not the species but the baramins, God’s ‘created
kinds’. In the broadest sense, baraminology has its roots in the writings
of Frank Marsh. In 1941, Marsh coined the term baramin.2 However, Marsh’s ideas have begun to flourish
in creationist research only in the past two decades. The German creationist group
Wort und Wissen has produced a book of systematics papers, Typen des Lebens,
in which they apply Marsh’s ideas to groups of plants and animals.3 Fortunately for English-speaking creationists, Georg
Huber is currently translating the book into English. Also during the 1990s, Kurt
Wise applied baraminology to turtles,4
and Ashley Robinson and David Cavanaugh produced a series of papers on baraminology
in turtles,5 primates6 and cats.7 I have been very active ‘behind the scenes’
in promoting baraminology to my fellow biologists. As part of the Baraminology Study
Group (BSG), I helped organize two baraminology conferences at Liberty University
and Cedarville University.8,9
Science in general and baraminology specifically require an appropriate philosophical
basis in order to be successful in describing the world. At the baraminology conferences,
so much emphasis has been placed on philosophy that researchers have not gained
a practical understanding of the basic methodology and relevance of baraminology.
Consequently, I find that many researchers do not know how to proceed. In this short
work, I intend to demonstrate as clearly as possible how to undertake a baraminology
study, using the grass family Poaceae as an example. It is my hope that once others
see how straightforward it can be, they will be encouraged to try it themselves.
What to look for
Many creationists share the problematic desire to have a definition of baramin
that makes it easy to recognize. Marsh’s heavy emphasis on hybridization as
the defining feature of a baramin has certainly contributed to this bias.10 An unambiguous criterion
makes research easy, but even the hybridization criterion has serious limitations
(e.g. it is inapplicable to asexual or fossil organisms). Because of these problems,
baraminologists of today focus on approximating the limits of the baramin using
a suite of characteristics. To assist in the approximation, we employ three terms
that are derived from Marsh’s baramin:11
- The monobaramin is a group of organisms that share continuity, either genetic
or phenetic.
- The apobaramin is a group of organisms that is discontinuous with everything
else. Creationists have long used bats as an example of animals that are unrelated
to any other mammals.12,13 Since we don’t know how many kinds (baramins)
of bats God created, baraminologists refer to the bats as an apobaramin.
- The holobaramin is roughly what we call the ‘Genesis kind’.
Technically, it simply combines the definitions of monobaramin and apobaramin.
A holobaramin contains a complete set of organisms that share continuity among themselves
but are discontinuous with all other organisms.
Because these definitions are not mutually exclusive, they form the basis of the
baraminological method of successive approximation. If you divide groups of organisms
into smaller and smaller apobaramins by subtractive evidence, you will eventually
come to a point when you can legitimately divide the group no longer. Similarly,
if you add more and more species to a monobaramin by additive evidence, you will
eventually come to a point when you cannot legitimately add any more species. Hopefully,
the point at which the apobaramin can no longer be divided and the point at which
the monobaramin can no longer be expanded is the same point: the holobaramin. At
this point, the ‘membership list’ of the monobaramin and the apobaramin
are exactly the same; therefore, this group probably represents the holobaramin.
To do baraminology then, we evaluate two kinds of evidence: Additive and subtractive.
Hybridization works well as additive evidence. The ability of members of two different
species to produce offspring strongly indicates that they share basic genetic machinery
and a common developmental path; however, failure to hybridize is not subtractive
evidence. There are too many factors that can cause reproductive isolation that
have nothing to do with baraminic status. Unfortunately, subtractive evidence proves
difficult to identify in many cases. Sometimes the creation record in Genesis can
provide the strongest subtractive evidence. For example, we know that whales share
no ancestry with land mammals (Gen. 1:20–21).
If subtractive evidence cannot be found, you should not consider your baraminology
study a failure:
- You might be looking at only part of the holobaramin; that is, your focus is too
narrow. Prior studies have shown that the holobaramin is larger than most genera.
- Baraminology constantly advances and refines its methodology. Discontinuity that
is undetectable today may be detected tomorrow.
- Practically speaking, establishing a monobaramin is useful information. For example,
in a baraminology study of a group of species in the sunflower family, I found good
evidence for continuity (hybridization) but no discontinuity with other species
of the same family.14
At the very least, my results indicated that the holobaramin is broader than this
group.
The grasses: choosing a subject
Biologists reading this article probably have a research subject in mind, but for
those who do not, guidance on choosing a group may be in order: First, realize that
you will likely choose a group that no creationist has studied before. Because precious
little baraminological research has been published, you will probably not choose
one of the few groups that have already been studied. Studying a group that has
been the subject of previous baraminological analysis is also good. The essence
of the baraminology method is approximation, so follow-up studies are always welcome.
Also consider how your baraminology study might relate to others already published.
Will you study a group similar to one already studied, or will you choose something
completely new? For example, since the dogs,15
bears16 and cats7
have all been the subjects of baraminology studies, another carnivore group, such
as the weasels or raccoons, would complement the previous work well. On the other
hand, studying a new group (e.g. invertebrates, microbes, or fungi) will blaze new
trails in baraminology and expand our understanding of the general features of the
baramin.
Practical issues involved in gathering appropriate data for your group of interest
should be considered as well. Will there be enough published data to do a good baraminology
study, or are you willing and able to gather your own data? Re-interpreting published
data is less laborious than gathering new data, but published datasets can be sparse.
For example, I was surprised to find almost no published, family-level cladistic
(tabulations of shared / non-shared characters) datasets on dinosaurs. On the other
hand, baraminologists need to begin generating our own data rather than simply re-interpreting
what someone else has already published. If you are able, I would strongly encourage
collecting your own data.
Most importantly, consider the biblical constraints that will inform the interpretation
of your results. Even if the Bible does not specifically mention your organisms,
the outline of early history in Genesis 1–11 will impact all baraminology studies.
At the minimum, try to determine on which day of Creation your group originated
and how your group survived the Flood (if it did). These aspects will be important
for understanding the historical development of the baramin.
To illustrate the baraminological method, I have chosen the grasses. The grass family
Poaceae is one of the most important families on the planet. People associate the
word ‘grass’ with the stuff in their lawns, but grasses also include
important cereal crops such as rice, maize, oats, wheat, barley, rye, and sugarcane.
Half of the world’s population subsists on members of the grass family. The
family itself consists of approximately 10,000 species in 5–6 subfamilies
and 46 tribes.17
In addition to its utilitarian importance, Poaceae makes an excellent baraminology
subject for a number of other reasons. First, a number of grasses are mentioned
in the Bible, including barley (Ruth 2:23, Hosea 3:2), millet (Ezekiel 4:9, 27:17), wheat (Genesis 41:22, Leviticus 23:14), and the comprehensive
term grass (Genesis 1:11–12). Second, because of the importance
of the grasses, many botanists actively research Poaceae systematics. Scientists
have formed a collaborative group to study the phylogeny of the grasses, and several
genomics projects are underway for the more important cereal crops, mainly rice18 and maize.19 A great deal of data from these research projects
is publicly available. Third, a creationist study of the wheat tribe has been published
in Typen des Lebens,20
allowing a comparison of results and conclusions. Finally, my own research work
has focused on rice, so grass baraminology will help me understand other areas of
my research interests.18,21
The baraminology method
There really is no single ‘baraminology method’ but rather a collection
of methods used in successive approximation. In the following sections, I present
a few techniques that can be used by nearly any biologist. I begin with Scriptural
considerations, then move to additive and subtractive evidences, and conclude with
an interpretation of my results. At each step, I present general methods that can
be applied to any group and illustrate their application in my study of the grasses.
This paper is necessarily short, so some methods in baraminology have been omitted.
Consult the literature for discussions of phylogenetic discontinuity detection,4
the use of mitochondrial DNA,5 and Analysis of Pattern.14,22
Biblical considerations
Because the Bible is the only source for infallible information, studying biblical
passages greatly aids the identification and interpretation of baramins.
Because the Bible is the only source for infallible information, studying biblical
passages greatly aids the identification and interpretation of baramins. The creation
account can give clues about apobaraminic limits, and early references in Genesis
and Job can illuminate the tempo and mode of post-Flood diversification (Job was
originally written during the time of Abraham, approximately 500 years after the
Flood). Unfortunately, many groups are not mentioned in the Bible, and others are
mentioned in passages that are difficult to interpret. In these cases, little biblical
evidence can be cited outside of the general outline of history in Gen. 1–11.
When a species or group of species is mentioned in the Bible, proper interpretation
becomes very important for applying the passages to baraminology. Optimally, trained,
careful Hebrew and Greek exegesis should be performed on the relevant texts by appropriate
scholars. Since scholarly exegesis may be difficult to obtain, we can still benefit
from our own preliminary study, with the recognition that we may be wrong. For the
lay Bible student, variety of sources is the key to locating and understanding relevant
biblical texts. Relying on one translation or commentary may lead to an enigmatic
or peculiar understanding of a passage. Using a variety of translations and other
resources will ensure that a balanced view of the passage is achieved. Although
Scripture should not be interpreted by majority rule, alternative translations can
alert the careful student to potentially valid alternative interpretations.
To begin a biblical study, list words that refer to your group and which might be
found in English translations. For the grasses, this list includes most of the cereal
crops: wheat, barley, etc. Next, use a concordance such as Strong’s Exhaustive
Concordance or Young’s Analytical Concordance to locate
specific verses that contain these words. Alternatively, the Bible Gateway
(bible.gospelcom .net/bible) offers word searching in many different translations
in fifteen languages, including the King James Version and the Latin Vulgate. I
found that the Bible refers to members of the grass family frequently. I will focus
my discussion on two types of passages: the creation of grasses and early post-Flood
references.
The English translation of relevant passages should be verified by comparing translations
and consulting lexicons and commentaries. I found eleven Hebrew words in Strong’s
that are used in various passages to refer to the grasses. Using the Bible Gateway,
I constructed a chart of the translations of these words from sixteen verses in
five different translations (KJV, NKJV, NASB, RSV, NIV). On Bible Gateway
web pages, different translations of the same verse can be viewed with the click
of a mouse, greatly simplifying this analysis. Based on my chart (Table 1), I infer
two important points. (1) The Hebrew word deše’ in Gen. 1:11–12 is translated ‘grass’ in
the KJV and NKJV but is translated ‘vegetation’ in the NASB, RSV, and
NIV. The variation in translation alerts me to possible scholarly disagreement over
the meaning of the verses that record the creation of grass. (2) I also note on
the chart that eight of the eleven words listed are found in Job. Two of these words,
`ēśeb and hāsîr, are translated ‘grass’
in all five translations. The remaining six are agricultural words. Some (hittâh
and śe`ōrāh) refer to crop species, while others
refer to aspects of crops related to farming (e.g. sheaves, heads of grain, fodder,
etc.).
Table 1. A summary of grass references and their English translations.
Click
here for larger view
I turned to additional resources to verify my understanding of these translation
differences. First, I consulted the New International Dictionary of Old Testament
Theology and Exegesis (NIDOTTE), edited by W.A. VanGemeren. This
five-volume dictionary of Hebrew words has a helpful index in volume five that relates
the words in the dictionary to the numbering system in Strong’s.
NIDOTTE should be available in seminary libraries, or it can be purchased for around
US$100. The dictionary entries on the words in Table 1 confirmed my interpretation
from comparing translations.
Commentaries disagree over the interpretation of deše’ in
Genesis 1:11–12. Some scholars believe that deše’
is a general descriptor for all vegetation, of which ‘herbs’ and ‘trees’
are the two main classes. Others maintain that there are three classes of plants,
‘grass’, ‘herbs’ and ‘trees’. The majority favour
the first view.23-25
From this brief biblical survey, we may draw a few preliminary conclusions. First,
the creation account in Genesis 1:11–12 does not directly address the origin
of the Poaceae. In fact, the term deše’ is most frequently
used for the green growth that sprouts in response to rain.26 An apobaraminic division between herbaceous plants
and woody trees is also not required. God most likely created many individual plants
to cover the newly formed land, including many members of the same baramin. If baramins
were created with original diversity, woody and herbaceous plants could be members
of the same baramin. Because modern plant baramins contain both woody and herbaceous
members (e.g. Flaveriinae14 ), it is best to refrain from asserting one
interpretation over another. I conclude that the creation account gives very little
information about the baraminic limits of the grasses with respect to other plants.
The numerous agricultural words found in the book of Job form the basis of my second
conclusion. The various farming terms indicate that an advanced agriculture already
existed at the time of Job. Job speaks of barley (śe`ōrāh)
and wheat (hittâh) using Hebrew words that refer unequivocally to
these species.27,28 Since barley and wheat interbreed29 (placing them in the same monobaramin), their
early cultivation indicates either a rapid post-Flood diversification of the baramin
or a pre-Flood diversification preserved via seeds through the Flood. Since we know
that Noah preserved food on the Ark (Gen. 6:21), pre-Flood domestication of wheat and barley
could be a valid interpretation.
Additive evidence: hybridization
Due to its popularity, I will present hybridization as the first scientific method.
If you are working with a group that is not amenable to hybridization experiments,
you might want to skip to the next section on Robinson and Cavanaugh’s baraminic
distance method, which can be used on any group.6 Space does not permit
a full discussion of the theory of the hybridization criterion, so I recommend consulting
other references1,30 for
more information.
Unfortunately, good compilations of hybridization records are difficult to obtain.
The Center for Origins Research and Education at Bryan College is developing a computerized
database of hybrids to assist in baraminology studies.31 Though the HybriDatabase (HDB) (www.bryancore.org/hdb)
currently contains 2,711 hybrid records, I have gained valuable experience during
the development of the HDB. I formulated an effective method of locating hybrid
records.
First, consult the HDB. Although incomplete, it contains valuable information. For
each hybrid, a complete literature citation is available at the click of a mouse.
Second, try computerized search engines. PubMed (www.ncbi.nlm.nih.gov) offers free
searching of mostly biomedical and molecular biology journals. Ovid (www.ovid.com)
and Biosis (www.biosis.org) offer database searching of a wider array of biology
literature for a subscription fee. Many public university libraries provide Ovid
or Biosis searching to their patrons. Third, consult published hybrid compilations.
Excellent sources include Gray’s Bird Hybrids32 and Mammalian Hybrids,33 the periodicals Plant Breeding Abstracts
and Animal Breeding Abstracts, and numerous specialty compilations (e.g.
Orchid Hybrids34).
You may consult online university library catalogues or Bookfinder (www.bookfinder.com)
to locate hybridization compilations. I recommend the two Breeding Abstract
periodicals as comprehensive sources of papers on hybrids. Creationists often recommend
Gray’s books,30 but some of the hybrids listed are not accepted
as valid.35 In all cases,
try to locate the original paper to confirm the hybrid success. Finally, if you
find a research article on a hybrid of interest, scan the references for other hybrid
records.
I found a plethora of grass hybridization information in Knobloch’s A Check
List of Crosses in the Gramineae,29 Омдаленная
Гибридиза Растений
(Omdalennaya Gibridiza Rasteniĭ, The Remote Hybridization of Plants,
a Russian book on distant plant hybridization),36
Watson and Dallwitz’s Grass Genera of the World17 and
several papers in Plant Breeding Abstracts. I also used the AltaVista search
engine (www.altavista.com) to locate other records of newer hybrids.37-40
Figure 1. Inter-tribal hybridizations in the grass family. Black
squares indicate reports of inter-tribal hybrids. Grey squares indicate two tribes
known to hybridize to the same third tribe. Open squares indicate no reported hybrids.
Click here
for larger view
To display hybridization information, baraminologists frequently use a graphical
tool called a hybridogram. To create a hybridogram, begin with graph paper
or a computer spreadsheet. Next, list your species down the left side and across
the top, forming a square matrix where each cell represents a potential interspecific
hybrid (Figure 1). Record successful hybridizations by filling in the appropriate
cells. The Wort und Wissen creationist group uses the hybridogram extensively
in their book Typen des Lebens.3
The 10,000 grass species make a challenging subject for a hybridogram. Because I
cannot put all species on one hybridogram, I made several approximations for the
hybridogram in Figure 1. I listed only the 46 grass tribes recognized by Watson
and Dallwitz.17 Next, I filled in cells indicating successful intergeneric
hybridization within and between tribes. I also used Scherer’s secondary membership
criterion, ‘Two individuals belong to the same basic type if they have hybridized
with the same third organism.’30 By extension, I shaded cells grey
where two tribes are known to cross with members of the same third tribe.
In Figure 1, inter-tribal grass hybrids join only twelve of 46 tribes. At first
glance, 12 out of 46 seems like poor baraminic evidence, but the 12 hybridizing
tribes comprise approximately 7,220 species. Consequently, I can assign 72% of the
Poaceae to one hybridization-defined monobaramin. The remaining tribes that are
not connected to the rest by hybridization are mostly small (half of the grass tribes
contain less than 20 species). In his analysis of the duck baramin, Scherer noted
the same pattern. Of the 13 tribes of the duck family Anatidae, hybridization connects
eight. The remaining five represent tribes of 1–3 species each. Despite a
lack of hybridization to connect the five small tribes with the remaining eight,
Scherer still concludes that all Anatids (ducks, swans and geese) form a single
basic type (or monobaramin; see below).41
Even though most of the non-hybridizing grass tribes are small, two tribes—Bambuseae
(the bamboos) and Stipeae (including ricegrasses)—are quite large. This illustrates
a limitation of hybridization: Lack of recorded hybridization is ambiguous baraminic
evidence. Although I could find no hybrids between bamboos or ricegrasses and other
grass tribes, my search for grass hybrids was cursory. A more comprehensive search
may reveal hybrids that join all grass tribes. At this stage, I would advance the
conservative hypothesis that 72% of grass species in 12 tribes form a monobaramin.
Additive and subtractive evidence: baraminic distance
Since hybridization is only additive evidence, I need more data to determine the
apobaraminic status of Poaceae. Fortunately, Robinson and Cavanaugh developed statistical
methods for examining baraminic relationships without hybridization data.6
They base their methods on the baraminic distance, a metric that summarizes
systematic data. The information in systematic data sets is organized in columns
where each column represents a particular characteristic, such as tooth shape or
head size. The rows represent the taxa and the particular character states
of those taxa. For example, oat flowers (character) are bisexual (character state
1) while maize flowers are unisexual (character state 2). For convenience, character
states are almost always coded numerically (1=bisexual, 2=unisexual).
Systematic data sets can be challenging to locate. Systematists are aware of this
limitation and have begun to archive their datasets in internet databases. You can
use two different databases to search for datasets for your group of interest, TreeBASE
(www.herbaria.harvard.edu/treebase/index.html) and Cladestore (palaeo.gly.bris.ac.uk/cladestore/default.html).
Since the databases are relatively new, they only have a few datasets. You may need
to dig further to find a useful dataset for your group. Specialty journals like
Cladistics, Systematic Biology, and organism-themed publications
(like Herpetologica or Journal of Mammalogy) often publish data
sets to accompany articles on systematics. Although many published data sets exist,
they are not always baraminologically useful. They may exclude taxa deemed baraminologically
significant, or they may simply have too few taxa or characters to give reliable
baraminic information. As mentioned previously, we creationists should strive to
generate our own datasets by direct observations of living or preserved specimens.
Only in this way can we obtain the precise data needed. In the meantime, published
datasets can offer useful information in many cases.
Because of the importance of the grass family, the Grass Phylogeny Working Group
(GPWG) placed a large data set online so that anyone with Internet access can analyze
it (www.virtualherbarium.org/grass/gpwg/). The GPWG dataset contains 7,025 characters
scored for 62 grass genera and four outgroup genera. The 62 grass genera represent
36 tribes. Most importantly, the large tribes excluded from the hybridization-defined
monobaramin are present in this dataset; therefore, their baraminic status should
be clearer. For more information about the GPWG dataset, consult their website.
Figure 2. Baraminic distance correlation test. The R2
statistic is the square of the correlation. In this example, the correlation coefficient
(R) would be the square root of 0.9646, or 0.982 (A and C are probably closely related).
Click here
for larger view
Space prohibits a detailed explanation of the baraminic distance method, but a short
description of the metric is in order. The baraminic distance between two species
is the percentage of characters in which the two species differ in their character
states. The simplicity of this metric is very important, because most evolutionary
phylogenetic methods make assumptions of common ancestry to calculate similarities
and distances. With a percentage, no prior assumptions are made, so identifying
both significant similarity between species (implying baraminic relationship) and
significant differences between other species (implying discontinuity) should be
straightforward. For a detailed discussion of the baraminic distance method, consult
Robinson and Cavanaugh’s original paper.6
I developed the computer program BDIST to perform the baraminic distance calculations
on the large GPWG dataset. BDIST is available at the BSG website (www.bryancore.org/bsg),
where you will also find detailed documentation on how to use the software. Because
BDIST is written in Perl, it will run under any operating system. BDIST first sorts
through the characters and calculates character relevance. Relevance is
the percentage of taxa for which a character state is known, and BDIST includes
relevance figures for each character in its output file. Robinson and Cavanaugh
recommend that character with relevance less than 95% should be eliminated from
baraminic distance calculations.6 After calculating relevances for every
character, BDIST eliminates characters that have less than 95% relevance. Finally
BDIST calculates baraminic distances from the remaining characters and outputs the
distance matrix to a plain text file, which can be cut-and-pasted into a spreadsheet
or other mathematical software for further analysis. BDIST eliminated 4,906 characters
from the GPWG dataset because of low relevance. The remaining 2,119 characters were
used for the baraminic distance calculations. Baraminic distances can be analyzed
in a variety of ways. I will illustrate the correlation test, one application of
baraminic distances.
Robinson and Cavanaugh recommend calculating the Pearson product-moment correlation
between all possible pairs of taxa.6 If the distance between taxa A and
B is similar to the distance between taxa C and B, and if this similarity of distances
holds for taxa D, E, and F, then A and C are probably closely-related (Figure 2).
By calculating the correlation of baraminic distances for taxa A and C, we can test
whether the distances are similar enough to be statistically significant. Robinson
and Cavanaugh suggest that significant positive correlation indicates that the two
species are members of the same monobaramin and significant negative correlation
indicates that the two species are discontinuous (members of different apobaramins).
You should consult their paper for more information on baraminic distance correlation
tests.6 I did not implement a correlation test in BDIST because these
tests are more efficiently done by any number of statistical software packages.
You can even use a simple spreadsheet, like Excel or QuattroPro. I use the S+ package,
available from Insightful Corporation (www.insightful .com).
Click
here for larger view
Figure 3. Summary of baraminic distance correlation tests for (A)
molecular and morphological data and (B) morphological data only. Filled squares
indicate significant positive correlation. Circles indicate significant negative
correlation. Black horizontal and vertical lines separate tribes. Labels for columns
are same as for rows.
Click
here for larger view
In the GPWG dataset, the 62 grass genera yield 1,891 unique species pairs for which
baraminic distances and correlations can be calculated. Using the baraminic distances
from BDIST, I found that 98% of the species pairs had significant positive correlation.
Curiously, I also found that 53% of the 248 species pairs between the grasses and
outgroup species also displayed significant positive correlation, and only 6% had
significant negative correlation (Figure 3A). Based on Robinson and Cavanaugh’s
original discussion of the distance correlation test, I did not expect a high frequency
of significant positive correlation between the grass and outgroup species. These
results suggest that the non-Poaceae genera included in the dataset might also be
members of a monobaramin together with the grasses. If correct, this result would
be very surprising, since grasses are widely acknowledged to form a well-defined
group.
To re-evaluate these results, I removed molecular characters from the GPWG dataset
and re-calculated the baraminic distances. Systematic data derived from DNA sequence
comparisons may not be very useful for baraminology because so many DNA/DNA comparisons
are done on genes that are very similar between many species. Consequently, species
appear much more similar than they would if you examined their morphology, thus
the use of DNA sequence information biases the systematic results towards similarity
that is purely genetic.
Of the 7,025 characters in the GPWG dataset, only 53 are morphological. The remaining
6,972 characters come from DNA analyses. After eliminating the DNA characters, the
baraminic distance calculations were very different. With the morphology-only dataset,
21 characters were eliminated due to low relevance, and 32 characters were used
to calculate baraminic distance. From the Pearson correlation analysis, I found
that nearly every one of the grasses shares significant positive correlation with
all the other grasses but significant negative correlation with the outgroup genera.
Two notable exceptions are the grass genera Streptochaeta and Anomochloa
(possibly Pharus as well), both of which have significant negative correlation
with most other grasses but significant positive correlation with the four outgroup
genera and with each other (Figure 3B).
From the morphological analysis, I draw several conclusions. First, the Poaceae
(excluding tribes Streptochaeteae and Anomochloeae) form a coherent monobaramin
and apobaramin, suggesting that the majority of grass species are members of a single
holobaramin. Second, negative baraminic distance correlation indicates that tribes
Anomochloeae (1 sp.) and Streptochaeteae (2 spp.) are not members of the grass holobaramin.
The position of Pharus and the Phareae (14 spp.) is presently unclear.
Third and perhaps most important for the advancement of baraminology methods, heavy
reliance on molecular sequence data biases baraminic analysis towards too much similarity.
I strongly suggest that researchers do not rely too heavily on sequence similarity
for determining baraminic relationships.
Conclusions
The final step of any baraminology paper is interpreting the analyses and presenting
your conclusions. The considerations that went into selecting the group to study
should now come back into play. You might consider the geographical distribution
of the modern members of your baramin and how it relates to their Flood survival
mode. You might also discuss possible diversification theories for an exceptionally
large baramin. Relate your group back to the biblical references you already discovered
and discuss their impact on both distribution and diversification. Finally, compare
your results with the results of other creationist researchers. If you are dealing
with a completely new group, discuss the general characteristics of your baramin,
such as the number of species, the fossil record or how it compares with conventional
taxonomic catagories (such as family, order or tribe).
Interpreting the grass holobaramin is a monumental task, so I will limit my comments
to a few points. Junker previously assigned basic type status to the tribe Triticeae.20
Because basic type biology considers only hybridization and lacks a method of identifying
discontinuities, a basic type is a monobaramin. Junker found no records of hybridization
between species in the Triticeae and other tribes of the grasses. Since I found
several intertribal hybridization records involving the Triticeae using the journal
Plant Breeding Abstracts, I would broaden Junker’s basic type to
include all the grasses except Anomochloeae and Streptochaeteae. In a report on
the grass species Ring Muhly, the authors speculate that the boundaries of the ‘created
kind’ lie within the genus Muhlenbergia.42 My results demonstrate that the holobaraminic
boundaries of the grasses (including Ring Muhly) are much broader than any single
genus.
Lastly, I want to address the question of the diversification of the grass holobaramin,
the largest holobaramin identified to date. With 10,000 species, the grass holobaramin
easily outnumbers even the biggest mammalian baramins. For example, a recent study
places 150 fossil horse species into a single monobaramin.22 The great
number of grass species is unlikely to be caused by excessive ‘splitting’
by over-zealous systematists. Instead, the large number of tribes indicates that
the diversity is real. The fact that grasses are plants gives a possible clue to
the origin of the extreme diversity. Unlike terrestrial animal baramins, many plant
baramins survived the Flood with more than two individuals per baramin via debris
rafting or preservation as food on the Ark. It is therefore possible that some of
the grass diversity dates from before the Flood, possibly even from created diversity
on Day 3 of the Creation Week.
Pre-Flood grass diversification would help to make sense of the early grass references
in the Bible, particularly the advanced agriculture of Job. The species mentioned
could have been preserved as food on the Ark. Some cereal grains might have arisen
after the Flood. Archaeological evidence of a post-Flood domestication of barley
(Hordeum vulgare) could be interpreted as merely diversification within
the Hordeum genus.43
To clarify the issue of grass diversification, we will need to evaluate the post-Flood
fossil record of the grasses.
With the Internet and the BDIST software, nearly any student or professional in
biology can do a baraminological analysis of their favorite creatures. As we accumulate
more baraminological studies, we will get a clearer picture of what baramins look
like and how to identify them better. I pray that this article will help researchers
become more familiar with baraminology and that biologists reading this article
will seriously consider joining this exciting work.
Acknowledgements
I would like to thank David Fouts for advice on the biblical section of this paper
and Stephanie Mace and Bevin Sims for critical readings of earlier drafts.
Related articles
Further reading
Recommended Resources
References
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