Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386962844> ?p ?o ?g. }
- W4386962844 endingPage "106" @default.
- W4386962844 startingPage "89" @default.
- W4386962844 abstract "Improvement of economically important quantitative traits in livestock has relied on BLUP estimation of breeding values based on phenotypes and pedigree records, through progeny testing programs. However, with advanced next-generation sequencing technology, during the last decade, the use of genome-wide markers for genomic evaluation of breeding values for dairy Sires has been the choice for genetic evaluation. Genomic selection along with conventional progeny testing programs has now proved to have a higher rate of genetic gains in livestock production and management systems. India although has successfully implemented the progeny testing programs to improve the rate of genetic gain, despite the large available genetic resources, efficient implementation of the genomic selection is still lagging. This chapter summarizes the genomic evaluation methods, opportunity for implementation of genetic selection in the Indian conditions, challenges, and various prospects of genomic selection." @default.
- W4386962844 created "2023-09-23" @default.
- W4386962844 creator A5001334549 @default.
- W4386962844 creator A5043522795 @default.
- W4386962844 date "2023-01-01" @default.
- W4386962844 modified "2023-09-29" @default.
- W4386962844 title "Implementation of Genomic Selection under the Indian Scenario through Utilizing the Vast Repository of Female Datasets" @default.
- W4386962844 cites W1513504242 @default.
- W4386962844 cites W1847589987 @default.
- W4386962844 cites W1928998639 @default.
- W4386962844 cites W1975977333 @default.
- W4386962844 cites W1992320151 @default.
- W4386962844 cites W1999398820 @default.
- W4386962844 cites W2001485777 @default.
- W4386962844 cites W2008933956 @default.
- W4386962844 cites W2010563298 @default.
- W4386962844 cites W2023673366 @default.
- W4386962844 cites W2041000916 @default.
- W4386962844 cites W2043711834 @default.
- W4386962844 cites W2050542723 @default.
- W4386962844 cites W2067715889 @default.
- W4386962844 cites W2075392090 @default.
- W4386962844 cites W2077668635 @default.
- W4386962844 cites W2085600006 @default.
- W4386962844 cites W2097840595 @default.
- W4386962844 cites W2102087753 @default.
- W4386962844 cites W2106330651 @default.
- W4386962844 cites W2108583185 @default.
- W4386962844 cites W2109781146 @default.
- W4386962844 cites W2110787179 @default.
- W4386962844 cites W2119372134 @default.
- W4386962844 cites W2120889953 @default.
- W4386962844 cites W2130434665 @default.
- W4386962844 cites W2132022004 @default.
- W4386962844 cites W2142220815 @default.
- W4386962844 cites W2147295520 @default.
- W4386962844 cites W2149385055 @default.
- W4386962844 cites W2154562310 @default.
- W4386962844 cites W2154978106 @default.
- W4386962844 cites W2160228159 @default.
- W4386962844 cites W2160819071 @default.
- W4386962844 cites W2162348269 @default.
- W4386962844 cites W2164567778 @default.
- W4386962844 cites W2170082703 @default.
- W4386962844 cites W2303043072 @default.
- W4386962844 cites W2334453152 @default.
- W4386962844 cites W2418428245 @default.
- W4386962844 cites W2474436508 @default.
- W4386962844 cites W2481883925 @default.
- W4386962844 cites W2883275999 @default.
- W4386962844 cites W2908633724 @default.
- W4386962844 cites W2954782795 @default.
- W4386962844 cites W2995761134 @default.
- W4386962844 cites W3102476541 @default.
- W4386962844 cites W3194305396 @default.
- W4386962844 cites W3197472833 @default.
- W4386962844 cites W3215597693 @default.
- W4386962844 cites W4212883601 @default.
- W4386962844 cites W4367275836 @default.
- W4386962844 doi "https://doi.org/10.1007/978-981-99-2209-3_6" @default.
- W4386962844 hasPublicationYear "2023" @default.
- W4386962844 type Work @default.
- W4386962844 citedByCount "0" @default.
- W4386962844 crossrefType "book-chapter" @default.
- W4386962844 hasAuthorship W4386962844A5001334549 @default.
- W4386962844 hasAuthorship W4386962844A5043522795 @default.
- W4386962844 hasConcept C103545067 @default.
- W4386962844 hasConcept C104317684 @default.
- W4386962844 hasConcept C105795698 @default.
- W4386962844 hasConcept C112964050 @default.
- W4386962844 hasConcept C119857082 @default.
- W4386962844 hasConcept C135763542 @default.
- W4386962844 hasConcept C150903083 @default.
- W4386962844 hasConcept C153209595 @default.
- W4386962844 hasConcept C18903297 @default.
- W4386962844 hasConcept C2776962539 @default.
- W4386962844 hasConcept C2778890363 @default.
- W4386962844 hasConcept C2779394979 @default.
- W4386962844 hasConcept C2992444039 @default.
- W4386962844 hasConcept C33923547 @default.
- W4386962844 hasConcept C41008148 @default.
- W4386962844 hasConcept C54355233 @default.
- W4386962844 hasConcept C68873052 @default.
- W4386962844 hasConcept C81917197 @default.
- W4386962844 hasConcept C86803240 @default.
- W4386962844 hasConceptScore W4386962844C103545067 @default.
- W4386962844 hasConceptScore W4386962844C104317684 @default.
- W4386962844 hasConceptScore W4386962844C105795698 @default.
- W4386962844 hasConceptScore W4386962844C112964050 @default.
- W4386962844 hasConceptScore W4386962844C119857082 @default.
- W4386962844 hasConceptScore W4386962844C135763542 @default.
- W4386962844 hasConceptScore W4386962844C150903083 @default.
- W4386962844 hasConceptScore W4386962844C153209595 @default.
- W4386962844 hasConceptScore W4386962844C18903297 @default.
- W4386962844 hasConceptScore W4386962844C2776962539 @default.
- W4386962844 hasConceptScore W4386962844C2778890363 @default.
- W4386962844 hasConceptScore W4386962844C2779394979 @default.
- W4386962844 hasConceptScore W4386962844C2992444039 @default.