Research Article

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Selection for lower somatic cell count has been included in the breeding objectives of several countries in order to increase resistance to mastitis. Genetic parameters of somatic cell scores (SCS) were estimated from the first lactation test day records of Brazilian Holstein cows using random-regression models with Legendre polynomials (LP) of the order 3-5. Data consisted of 87,711 TD ... more

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The objective of the present study was to estimate the genetic parameters for test-day milk yields (TDMY) in the first and second lactations using random regression models (RRM) in order to contribute to the application of these models in genetic evaluation of milk yield in Gyr cattle. A total of 53,328 TDMY records from 7118 lactations of 5853 Gyr cows were analyzed. The model included ... more

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Conjugated-linolenic acid; Dairy cattle; DGAT1; Genetic markers; Milk fat composition; SCD1

Milk fat composition is important to consumer health. During the last decade, some fatty acids (FA) have received attention because of their functional and beneficial effects on human health. The milk FA profile is affected by both diet and genetics. Differences in milk fat composition are based on biochemical pathways, and candidate genes have been proposed to explain FA profile ... more

A.M. Carvajal; P. Huircan; J.M. Dezamour; I. Subiabre; B. Kerr; R. Morales; E.M. Ungerfeld; A.M. Carvajal; P. Huircan; J.M. Dezamour; I. Subiabre; B. Kerr; R. Morales; E.M. Ungerfeld
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Clinical mastitis cows normally produce clotted milk, thus the much higher somatic cells in milk are unable to be counted by routine FOSS machine. The proteins coded by CD4 and LAG-3 genes can bind to MHC class II molecules and play important roles in in-flammatory diseases. The present study was designed to investigate the effects of single nucleotide ... more

T. Usman; Y. Wang; M. Song; X. Wang; Y. Dong; C. Liu; S. Wang; Y. Zhang; W. Xiao; Y. Yu
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broiler; Candidate gene; Polymorphism; Production trait; QTL

Genetic selection for production traits has resulted in a rapid improvement in animal performance and development. Previous studies have mapped quantitative trait loci for body weight at 35 and 41 days, and drum and thigh yield, onto chicken chromosome 4. We investigated this region for single nucleotide polymorphisms and their associations with important economic traits. Three positional ... more

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Genetic improvement is the fundamental basis for improving nitrogen-use efficiency. A better understanding of genetic factors controlling nitrogen uptake and utilization is required for crop genetic improvement. In this study, we identified the quantitative trait loci (QTLs) associated with traits of nitrogen uptake and utilization by using the single-sequence repeat marker method and a ... more

G.J. Dai; S.H. Cheng; Z.T. Hua; M.L. Zhang; H.B. Jiang; Y. Feng; X.H. Shen; Y.A. Su; N. He; Z.B. Ma; X.Q. Ma; S.G. Hou; Y.R. Wang
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Grape weight; Grapevine; QTL; Soluble solids

A grapevine hybrid population was derived from a crossing of the early-maturing female parent cultivar ‘87-1’ and the late-maturing male parent cultivar ‘9-22’. A total of 149 plants were selected from the hybrid population as the mapping population, and after sequence-related amplified polymorphism and simple-sequence repeat marker analysis were conducted we constructed molecular ... more

Y.H. Zhao; Y.S. Guo; H. Lin; Z.D. Liu; H.F. Ma; X.W. Guo1; K. Li; X.X. Yang; Z.Z. Niu; G.G. Shi
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Oryza sativa L.; Panicle exsertion; QTL; Recombinant inbred population; Yield-related traits

Panicle exsertion (PE) is an important morphological trait that is closely associated with spikelet fertility and grain yield. To understand the genetic basis of PE and its relationships with yield and yield-related traits, a recombinant inbred population consisting of 240 lines derived from a cross between an Indica cultivar ‘Kasalath’ and a Japonica germplasm ‘TD70’, ... more

C.F. Zhao; T. Chen; Q.Y. Zhao; L.H. Zhou; L. Zhao; Y.D. Zhang; Z. Zhu; S. Yao; C.L. Wang; C.F. Zhao; T. Chen; Q.Y. Zhao; L.H. Zhou; L. Zhao; Y.D. Zhang; Z. Zhu; S. Yao; C.L. Wang; C.F. Zhao; T. Chen; Q.Y. Zhao; L.H. Zhou; L. Zhao; Y.D. Zhang; Z. Zhu; S. Yao; C.L. Wang
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Azoospermia; Infertility; Molecular markers; Ring-Y

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F.M. Carvalho; E.V. Wolfgramm; I. Degasperi; B.M. Verbeno; B.A. Vianna; F.F. Chagas; F. Paula; I.D. Louro; A.M.S. Perroni

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