Multivariate analysis of morphometric traits of three different indigenous cattle populations from North East states of India

Pundir, R. K.; Singh, P. K.; Sadana, D. K.

doi:10.14334/jitv.v20i2.1162

Cited by 11 publications

(14 citation statements)

References 13 publications

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“…Generally the standardized canonical coefficients identify that are up to 0.3 are said to contribute to the discriminate analysis. This finding is agrees with Pundir et al [13] who informed that body traits have contributed to discriminate between populations. Table 4 showed that ear length, body length, chest girth, horn length, tail length, muzzle circumference and cannon bone circumference were selected among cows.…”

Section: Resultssupporting

confidence: 93%

“…According to Pundir et al [13] stepwise discriminate analysis showed that height at wither, body length, ear length, tail length, paunch girth and face were the most discriminating variables between these three cattle populations in North East India. Studies, Yakubu et al [2] reported that height at wither and face length most discriminating traits in two distinct cattle breeds.…”

Section: Literature Reviewmentioning

confidence: 99%

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Application of Discriminant Analysis on the Forest Muturu Cattle in Different Locations in Southern Zone of Nigeria

Shaibu

Gwaza

Egahi

et al. 2021

AJB2T

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About 238 mature Forest Muturu cattle were sampled from Southern Nigeria (Enugu, Imo, Delta, Anambra and Ebonyi) States. Discriminant analysis was performed on the effects of location using body weight and body linear parameters. Horn length was the only parameter selected for stepwise discriminant analysis to separate the populations of forest Muturu bulls. Horn length, muzzle circumference, body length, chest girt and ear length were the selected parameters by stepwise discriminant analysis to separate the forest Muturu cows populations. The strength of the canonical correlation model to explain the variations between the groups 0.615, 0.450, 0.364 and 0.335 for functions 1, 2, 3 and 4 respectively among cows and 0.71, 0.59, 0.50 and 0.29 for functions 1, 2, 3 and 4 respectively among bulls. Location was found to influence body parameters. There is need to carry out further study to assess performance characterization of the Forest Muturu cattle in Nigeria to identify the superior genetic grades base on economic traits which may be useful in establishing necleous breeding center.

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Section: Resultssupporting

confidence: 93%

Section: Literature Reviewmentioning

confidence: 99%

Application of Discriminant Analysis on the Forest Muturu Cattle in Different Locations in Southern Zone of Nigeria

Shaibu

Gwaza

Egahi

et al. 2021

AJB2T

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“…The differences of morphometrics between cattle breeds with the same age might be caused by genetic factors. Therefore, four (4) discriminant variables that were obtained in this study can Mizoram (82.09%), Manipur (79.87%), Bunaji (85.48%), Sokoto Gudali (96.55%), Pasundan (100%) and Ongole (100%) cattle into their original breed group [8,9,11]. Despite, the CDA of morphometrics able to classify the Eritrean cattle at highland (77.0%), lowland (100%) and coastland (78%) into their original population [16].…”

Section: Discussionmentioning

confidence: 79%

“…Although using genomic information is more accurate for breed differentiation, discrimination of breeds with morphometric measurement can be a first step to observe similarity among livestock breeds [7]. Previous studies have been used the morphometrical measurements to differentiate between breeds of cattle in India [8], Nigeria [9], Ethiopia [10] and Indonesia [11].…”

Section: Introductionmentioning

confidence: 99%

Morphometrics characterization in White Fulani, Muturu and Pasundan cows

Putra

Ahmed²,

Arifin

et al. 2021

Livest. Anim. Res.

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Objective: This study was aimed to characterize three different cattle breeds based on the morphometrics.Methods: Five (5) morphometrics which include body length (BL), chest girth (CG), withers height (WH), rump length (RL) and chest depth (CD) were measured in each animal. A total of 119 cows belonging to White Fulani (40 heads), Muturu (40 heads) and Pasundan (39 heads) were used in this study. The age of animal study was 20.93±1.62 months (White Fulani), 21.63±1.75 months (Muturu) and 20.46±2.99 months (Pasundan). Hence, two statistical methods of canonical discriminant analysis (CDA) and hierarchical cluster analysis (HCA) methods were computed in this study to characterize of animals based on their morphometrics using SPSS 16.0 package.Results: Mostly the morphometrics of White Fulani and Pasundan cows are similar while those of Muturu are significantly lower than the two other breeds. Four morphometric measurements of CG, RL, BL and WH were identified as a discriminator variables in animal study based on the CDA method. The CDA of morphometrics able to classify 85% (White Fulani), 100% (Muturu) and 74.4% (Pasundan) of the animal into their original breed group.Conclusions: The closeness between observations from White Fulani and Pasundan might be due to them being both Zebu (Bos indicus) unlike the Muturu with a type breed of Bos bracycheros.

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“…Лінійний Дискримінантний Аналіз (ЛДА) широко використовується в дослідженнях, що пов'язані із виробництвом та переробкою тваринницької продукції. Найчастіше він використовується для порівняння худоби різних порід (або внутрішньопородних груп) на підставі екстер'єрних ознак будови тіла (Yakubu et al, 2010;Pundir et al, 2015). ЛДА виявився ефективним інструментом для визначення головних відмінностей між коровами м'ясних та молочних порід із нормальним отеленням та тварин, які мали проблеми під час отелення (дистоція), що дало змогу прогнозування виникнення можливих ускладнень на підставі низки ознак корови (Morrison et al, 1985;Basarab et al, 1993;Zaborski et al, 2018).…”

Section: вступunclassified

The use of multidimensional methods of analysis of the intra-breed variability of fat content in milk of dairy cattle

2019

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The analysis included data on the origin and milk productivity of 109 first-born red steppe breed, which were descendants of five bulls-offspring (Narcissus, Topol, Tangens, Neptune, and Orpheus) and were kept in SE “Plemproductor Stepove” (Mykolaiv region, Ukraine ) during the years 2001–2014. The purpose of this study was to analyze the fat content of milk during different months of lactation (MFP1, MFP2,…, MFP10) to determine latent variables that best describe the variability of dairy cows' productivity in this herd. High correlation estimates of fat milk scores in different lactation months have been established. According to the results of the Principal Component Analysis, based on the (co)variation matrix of fat content in milk, three new variables (PC1, PC2, and PC3) were identified, which accounted for about 82% of the variability of the original data. The First Main Component (PC1) explained 53.5%, Second (PC2) – 17.7%, and Third (PC3) – 10.6% of the variability of the original data, respectively. PC1 was highly correlated with MFP4-MFP10 and, thus, it distributed the animals according to their fat content level. PC2 was highly positively correlated with MFP8-MFP10 but highly negatively correlated with M FP1-MFP3 and thus it shows the rate of increase in fat content in milk during lactation. PC3 characterizes the variability of fat content in milk during the first and second half of lactation. The Linear Discriminant Analysis found that the MFP1-MFP2 and MFP9-MFP10 scores contributed most to the discrimination among the five subpopulations. The individual identification of the offspring groups of different bulls according to the cross-check classification ranged from 44.4% (Topol) to 87.5% (Orpheus) of cows, which were correctly assigned to their own group.

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Multivariate analysis of morphometric traits of three different indigenous cattle populations from North East states of India

Cited by 11 publications

References 13 publications

Application of Discriminant Analysis on the Forest Muturu Cattle in Different Locations in Southern Zone of Nigeria

Application of Discriminant Analysis on the Forest Muturu Cattle in Different Locations in Southern Zone of Nigeria

Morphometrics characterization in White Fulani, Muturu and Pasundan cows

The use of multidimensional methods of analysis of the intra-breed variability of fat content in milk of dairy cattle

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