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Style and Form
The manuscript must be written in English, using the UK English spell check. Submissions are to be typed in MS Word and saved as a .docx file, and are submitted electronically through the South African Journal of Animal Science OJMS (www.sajas.co.za). It is up to the authors to make sure there are no typographical errors in the manuscript. The contents must be arranged in an orderly way with suitable headings for each subsection.
Manuscripts will not be admitted to the peer-review process until they are fully compliant with the style and form detailed in the instructions to authors and are written using correct English grammar and syntax.Authors are advised to adhere strictly to the following directives and to consult the downloadable MS Word template and most recent editions of the journal for issues not specifically mentioned here.
English editing services
Authors for whom English is a second language may choose to have their manuscript professionally edited before submission to improve the quality of the English used. All services are paid for and arranged by the author, and the use of one of these services does not guarantee acceptance or preference for publication.
You will find details on English editing services by following the links (in alphabetical order) below:
- https://authorservices.springernature.com/
- https://www.editage.com/services/english-editing/english-language-editing-and-proofreading-services
- https://www.enago.com/
- https://www.pnas.org/author-center/language-editing
- https://wileyeditingservices.com/en/
- https://paperpal.com/preflight
You can also make use of free artificial intelligence (AI)-based language editing tools to scan your manuscript and make suggestions to help improve the quality of your writing. The tools apply machine learning, trained on millions of published scientific articles, and suggest improvements to grammar, spelling, and academic language.
- https://www.writefull.com/students-researchers-3
https://paperpal.com/preflight
Formatting (Ms Word)
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Page layout:
Page size: A4
Line numbering: ON (restart on each page)
Margins: top: 2.5 cm, bottom: 2.5 cm, left: 2.5 cm, right: 2.5 cm
Gutter: 0 cm, header: 1 cm, footer: 1.4 cm
Page numbering: ON (position: top right, Arial 9 pt)
Line spacing: multiple (1.08), no spaces between paragraphs
Please see the MS Word template available from the website for a complete guide to formatting.
- Teminology, abbreviations, and formuale
Use the SI (International System of Units) metric system for units of measurement, and use a decimal point, not a comma. For numbers less than 1, use a leading zero before the decimal point (e.g., 0.5). Spell out numbers from one to nine, but use numerals for larger numbers, groups of numbers, fractions, or units, for example: four, 8–16 (note the use of an en-dash to indicate range), 0.64, 4 kg/ha, 42 ewes, 67%. For litres, use the abbreviation L or mL. Note the spacing in the following text: P <0.05 with P in italics, and 5 min.
When reporting the concentrations of the chemical components of diets, use g/kg and not %, mg/kg and not ppm, and mg Cu/kg and not mg/kg Cu. Do not use the word ‘content’ when specifying a concentration in terms of g/kg or %. Use % mainly to indicate relative changes. Express nutrient concentrations of feeds preferably on a dry matter (DM) basis, and clearly indicate the basis used.
When abbreviations are used, they must be explained in full the first time they are used in the text (e.g., ‘…South African Mutton Merino (SAMM) …’), and the abbreviation should be used consistently thereafter. The abstract, body of the text, tables, and figures should all be interpretable in the absence of the rest of the manuscript. This means that abbreviations must be provided in full and defined independently in each of these sections. Use abbreviations sparingly, and only for terms used at least three times in the text, as too many abbreviations create confusion. Do not start a sentence with an acronym or abbreviation.
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Formulae are to be prepared using the MS Word equation editor in Cambria Math 11 pt font, and are not to be presented as images. Formulae should be shown alone and centred on a line without other punctuation. For example:
𝑦𝑖𝑗 =𝜇+𝑡𝑖 +𝑒𝑖𝑗
where: 𝑦𝑖𝑗 = an observation from the jth animal that was subjected to the ith treatment; 𝜇 = the grand mean that is common to all observations; 𝑡𝑖 = the ith treatment; and 𝑒𝑖𝑗 = the random error that is attributable to the jth animal.
Tables: Tables are to be created in MS Word, numbered consecutively in bold Arabic numerals (e.g., Table 1 note that there is no following colon or full stop), and should bear a short, yet adequately descriptive caption that would be sufficient for the interpretation of the data presented if the table and caption were to be separated from the text. For example:
Inadequate: ‘Table 1 Feed intake effects’
Correct: ‘Table 1 Mean (± standard error) voluntary intake (g/d) of two diets differing in crude protein content by early weaned (21 d) piglets’
The caption should be in 10 pt Arial font with the word ‘Table’ and its number (only) in bold. Tables should be inserted at the appropriate place in the text and not appended at the end of the article. The body of the table is to be set in 9 pt Arial font with the row and column headings in bold, but without any bold entries in the body of the table. Tables must fit on a single page and should not straddle a page break. Tables may be entered in landscape mode to accommodate a greater number of columns, if necessary.
Metric units are required and their symbols and abbreviations must be in accordance with international procedure. Explanatory notes to table elements are designated by superscripts. These notes appear on the lines directly below the table, in 9 pt Arial font. Means presented in tables are to be accompanied by their standard error (± SE). Use of multiple range tests (i.e., Duncan’s, Tukey's, Student's t-test) for mean separation is discouraged. Use of pre-planned contrasts of means is encouraged.
Tables should be centred on the page. Authors should pay special attention to the format for tables regarding lines: no vertical lines and 1½ pt font horizontal lines before and after the heading and the last row of data only. Place each entry in a separate cell in the table. Align decimal points in columns of means.
Sample tables are shown below:
Table 3 Means (± standard errors) of feed intake, weight gain, and feed conversion ratio of commercial broilers fed aluminosilicates and yeast-based mycotoxin binders |
Treatments1 |
Feed intake (g) |
Weight gain (g) |
Feed conversion ratio |
|
NC |
3171 ± 10.9 |
1904 ± 49.4 |
1.67 ± 0.04 |
C |
2951 ± 19.3 |
1369 ± 71.5 |
2.17 ± 0.11 |
Z1 |
3117 ± 19.1 |
1963 ± 19.0 |
1.59 ± 0.01 |
Z2 |
3123 ± 19.6 |
2078 ± 46.3 |
1.50 ± 0.03 |
TX1 |
3190 ± 42.1 |
1959 ± 69.2 |
1.63 ± 0.06 |
TX2 |
3178 ± 29.1 |
2042 ± 44.8 |
1.56 ± 0.04 |
P-value |
<0.01 |
<0.01 |
<0.01 |
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1NC: negative control; C: control; Z1: I g zeta plus; Z2: 2 g zeta plus; TX1: 1 g Toxfin Dry; TX2: 2 g Toxfin Dry |
Table 3 Means (± standard errors) for the effects of time during lactation and parity on the energy balance (MJ per day) of lactating sows |
|
Estimated energy intake |
Estimated energy requirement |
Energy balance |
CG |
EG |
CG |
EG |
CG |
EG |
|
Day of lactation |
Day 1 to 7 |
40.1 ± 1.7 |
48.0 ± 1.9 |
47.6 ± 1.8 |
46.0 ± 2.3 |
-7.5 ± 2.1 |
-1.9 ± 3.2 |
Day 8 to 14 |
49.2 ± 1.6 |
60.2 ± 1.5 |
55.2 ± 2.0 |
57.1 ± 2.5 |
-6.1 ± 2.3 |
3.5 ± 3.4 |
Parity |
1st |
40.1 ± 2.3 |
55.4 ± 3.3 |
51.9 ± 2.6 |
57.1 ± 3.0 |
-9.1 ± 2.9 |
-2.1 ± 3.9 |
2nd |
45.8 ± 2.8 |
53.3 ± 2.7 |
53.0 ± 2.8 |
56.8 ± 3.2 |
-8.3 ± 3.1 |
-3.6 ± 4.1 |
3rd to 5th |
45.5 ± 2.9 |
56.2 ± 2.9 |
62.5 ± 3.0 |
60.6 ± 3.4 |
-10.8 ± 3.3 |
-2.8 ± 4.3 |
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CG: control group; EG: supplemented group |
Figures
Figures are to be numbered consecutively in bold Arabic numerals (e.g., Figure 1 note that there is no following colon or full stop), bear a short, yet adequately descriptive caption, and inserted into the text at the appropriate position. The caption is to be in 10 pt Arial with the word ‘Figure’ and its number (only) in bold. Scanned illustrations from other sources are not acceptable. Bitmap images should be sized to fit on a portrait mode page and have a resolution of not less than 600 dpi. All lettering and numerals that appear in figures should be in Arial 9 pt font in ‘regular’ not ‘bold’. Point means should be accompanied by standard error bars. Tick marks on axes should face towards the inside of the graph. Place the title underneath the figure, but not as part of the inserted section. Do not ‘block’ the figure with lines surrounding it. Ensure that lines, including axes and graphs, are of sufficient thickness and contrast to be clear.
In-text references
Cite references by name and date. In the case of two authors, use an ampersand (&) and not ‘and’ (e.g. Smith & Harrison, 1998). The abbreviation ‘et al.’ must be used in all cases where more than two authors are quoted (e.g. Jones et al., 1999). Note that the comma after ‘et al.,’ is not in italics.
Multiple references within parentheses in the text should be cited in chronological order, e.g. ‘Apart from the work of Chevallerie & Smith (1971), Veary (1991), and Lewis et al. (1997), little data’… or ‘… and has been shown to increase the pH (Chevallerie & Smith, 1971; Veary, 1991; Lewis et al., 1997).’
When citing a reference that is not the primary report, put: ‘original authors (1991, cited by citing authors, 1997)’ in the text, and the original work followed by the statement ‘cited by’ parenthetically in the list of references. For example: ‘… as reported by Scott (1947, cited by Tainton, 1999)’ in the text, and ‘Scott, J.D., 1947. Veld management in South Africa. Bull., Dept. Agric. S. Afr. No. 28. (cited by Tainton, 1999)’ in the list of references.
Personal communications and unpublished work may be cited in the text, giving the initials, name, and date. Personal communications do not appear in the list of references. Personal communications appear only in the text as, e.g. ‘According to Brightguy (2005, A.B.
Brightguy, Pers. Comm., Centre of Wisdom, P.O. Box 100, Pretoria, 0001)’. Sufficient detail should be provided so that the person can be contacted.
It is the FULL responsibility of the authors to cross-check references in the text of the article with those in the list of references.
Formatting the reference list
- The list of references is to be arranged alphabetically by the first author. When there is more than one reference by the same first author, these are to be arranged first by the number of authors and then within a group of references having the same number of authors, in chronological order, oldest first.
- List all authors for each reference. Do not use abbreviated conventions, or et al.
- Titles of references are to be written in sentence case (i.e., only the first word and proper nouns are capitalised).
- Journal names must be provided in full and italicised.
- Pay particular attention to the syntax used in the reference list. References in the text must correspond completely and exactly with those in the reference list. In all cases, a reference must provide sufficient information to enable the reader to obtain a copy of the cited work.
- DOIs should be provided for ALL references cited, if available.
- References to unpublished congress presentations are NOT acceptable.
- References to the original work are preferred over the citation of textbooks.
- References to internet articles are permissible. Supply the full html address for the source material and the date on which the material was most recently accessed; for example: (https://www.grandin.com/meat/dkcut.html; accessed 10 October 2019).
Examples of references: (hanging indent, 1 cm)
AOAC, 2019. Official Methods of Analysis of AOAC International (21st ed.), Volume 1. Ed. Latimer, G.W. AOAC International, Gaithersburg, Maryland, USA.
Cloete, S.W.P., Engelbrecht, A., Olivier, J.J., & Bunter, K.L., 2008. Deriving a preliminary breeding objective for commercial ostriches. Australian Journal of Experimental Agriculture, 48:1247–1256. DOI: https://doi.org/10.1071/EA08135
Qwabe, S.O., van Marle-Koster, E., Maiwashe, A., & Muchadeyi, F.C., 2013. Evaluation of the BovineSNP50 genotyping array in four South African cattle populations. South African Journal of Animal Science, 43(1):64–67. DOI: https://doi.org/10.4314/sajas.v43i1.7
Read, M.V.P., 1984. Animal performance from natural pastures and the effects of phosphorus supplementation. MSc (Agric) thesis, University of Stellenbosch, South Africa.
Sanchez, M.S.S., Nascimento, M.S., & Hisano, H., 2016. Substituição do milho pelo sorgo em dietas para juvenis de pacu. Pesquisa Agropecuaria Brasileira, 51:1–8. DOI: https://doi.org/10.1590/S0100-204X2016000100001 (in Portuguese, English abstract).
Tainton, N.M., 1999. The ecology of the main grazing lands of South Africa. In: Veld Management in South Africa. Ed: Tainton, N.M., University of Natal Press, Pietermaritzburg, South Africa. pp. 48.
Notes on statistics
Following Lush (1933; https://academic.oup.com/jas/article-abstract/1933/1/15/4771465), statistical methods are used for two main purposes. The first is to describe the particular sample of data under scrutiny. The second is to test the significance of a difference between that sample and some other actual sample or some theoretically expected value. The two purposes of description and of testing significance are not independent of each other but they are far from being identical.
A comparison between two groups can result in one of three outcomes:
- A difference may be observed, and shown to be significant at some predetermined level of probability.
- A difference may be observed, but its test does not rise to the predetermined threshold for statistical significance.
- No difference may be observed.
The latter two should not be confused. We cannot honestly leave the impression that no difference was found when we really did find one, but it was not statistically significant. We can only declare outcomes to be similar when the number of replications ensures adequate power-of-the-test. Even if one does not find a significant difference, it should always be kept in mind that the difference most likely to be found if the experiments were repeated is the observed difference and not zero.
The experimental unit may be defined as the object independently treated in an experiment. The experimental unit may be an individual animal or a pen of animals. Independence among experimental units is an essential feature of an experiment aimed at establishing cause and effect. The word ‘independently’ also aids in the identification of the experimental unit, as treatments applied independently to animals in a group make the animals the experimental units, but treatments applied to a group of animals together makes the entire group a single experimental unit. Variation among experimental units that are treated alike (i.e., variation among replicates) provides the basis for testing treatment effects. Misidentification of the experimental unit can lead to grossly inflated Type-1 error rates in hypothesis testing (Blair, 1983; https://doi.org/10.1177/001316448304300110). This is not an uncommon mistake.
The term ‘pseudoreplication’ was coined by Hurlbert to refer to ‘the use of inferential statistics to test for treatment effects with data from experiments where either treatments are not replicated (though samples may be) or replicates are not statistically independent.’ Heffner et al. distinguishes a pseudoreplicate from a true replicate, which they characterise as "the smallest experimental unit to which a treatment is independently applied.’ Most models for statistical inference require true replication. True replication permits the estimation of variability within a treatment. Without estimating variability within treatments, it is impossible to do statistical inference. Consider, for example, comparing two drugs by trying drug A on person 1 and drug B on person 2. Drugs typically have different effects in different people. So this simple experiment will give us no information about generalising to people other than the two involved. But if we try each drug on several people, then we can obtain some information about the variability of each drug, and use statistical inference to gain some information on whether or not one drug might be more effective than the other on average. True replicates are often confused with repeated measures or with pseudoreplicates.
Appropriate statistical methods should be used in all reports, although the biology should be emphasised. Referring only to the software that is used for analysing the data is not sufficient. The significance threshold used to declare the effect to be real must be stated. For example, ‘Treatment effects were assumed to be real when the probability of finding the observed difference by chance was less than 5% (i.e., P <0.05).’
Results from the statistical analyses should justify the interpretations and conclusions. The means of all variables measured should be presented in a table, together with their respective standard errors (i.e., mean ± standard error). Note that for data analysed using an analysis of variance, it is assumed that the variances are homogeneous within classes of the independent variables. Thus, the standard errors should be calculated from the estimated error variance and not from the variance calculated separately for each level of an independent variable.
Do not use the word ‘significantly’ where the level of significance is declared: e.g., use ‘Treatment A was different to treatment B (P <0.01)’ or ‘The difference between treatment A and treatment B was substantial’ but not‘The difference between treatment A and treatment B was highly significant (P >0.01)’. Where means do not differ significantly, the appropriate level of probability can be stated, e.g., ‘…did not differ (P >0.05)’. Note the following syntax: ‘variables differ between treatments,’ not ‘variables differ among treatments’.
It is important that the variability of the estimated effects be properly indicated. The standard error of a mean is an estimate of how far that mean is likely to be from its true value, whereas the standard deviation of the sample is the degree to which individuals within a sample differ from the sample mean. The standard errors for a set of means are directly relevant to the comparisons between them.
When the treatments have a natural underlying quantitative basis, it is not appropriate to treat them as though they were categorical. In this situation, regression methods or orthogonal polynomial contrasts of the means are more appropriate. To illustrate these results, the actual means for each level of the factor should be displayed, and not the fitted means, and the continuous function fitted to the data should be drawn through these means. Coefficients of the curve fitted to the data need to be displayed together with their standard errors.
For experiments in which variation may be attributable to more than one independent variable, a test of each potential interaction effect is expected. When the interaction effect is significant, tabular or graphic presentation of the interacting effects is expected, and interpretation of the interaction must have priority over the interpretation of the main effects that interact.
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