Results 21 to 30 of about 6,988 (214)
The goal of potato breeding is to develop widely adaptable, highly productive cultivars that farmers would prefer. The objective of this study was to evaluate the performance and stability of potato varieties linking the preferences of smallholder ...
Gizaw Wegayehu Tilahun +6 more
doaj +1 more source
The expected gains in the productivity and sustainability of cotton cultivars across environmental spectra may face many challenges. To address this issue, a set of 572 cotton accessions, including 284 F1 hybrids along with their parental lines and ...
Muhammad Shahid Iqbal +7 more
doaj +1 more source
Current state and problems of poultry breeding in Russia (review)
Modern poultry breeding in Russia is one of the fastest growing sectors of agriculture, but the prosperity of the industry is almost entirely dependent on supplies of breeding material from abroad.
E. S. Fedorova +2 more
doaj +1 more source
The Use of BLUP Method in Ram Selection
Bu calisma, Konya Merinos’u kuzularinin sutten kesim agirligi yonunden, damizlik degerlerini BLUP (Best Linear Unbiased Prediction) metodu ile hesaplamak amaciyla yapilmistir. Calismada, 1997-2002 yillari arasinda Konya Hayvancilik Arastirma Enstitusu’nde yetistirilen, 1167 bas Konya Merinosu kuzularina ait kayitlar degerlendirmeye alinmistir.
Karabulut, Osman, Tekin, Mehmet Emin
openaire +3 more sources
Progress and perspectives on genomic selection models for crop breeding
Genomic selection, a molecular breeding technique, is playing an increasingly important role in improving the efficiency of artificial selection and genetic gain in modern crop breeding programs.
Dongfeng Zhang +8 more
doaj +1 more source
Modeling missing pedigree in single-step genomic BLUP [PDF]
The objective was to compare methods of modeling missing pedigree in single-step genomic BLUP (ssGBLUP). Options for modeling missing pedigree included ignoring the missing pedigree, unknown parent groups (UPG) based on A (the numerator relationship matrix) or H (the unified pedigree and genomic relationship matrix), and metafounders.
Bradford, H.L. +4 more
openaire +5 more sources
A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen +5 more
wiley +1 more source
Evaluation of sires using univariate animal model in Murrah buffaloes
The percentage of sires superior to the population mean was 63.24, 58.82, and 60.29% using LS, BLUP, and DFREML method respectively for AFC trait. The corresponding figure in percentage applying LS, BLUP and DFREML methods were 51.47, 58.82 and 39.71 ...
REETU TEWARI +3 more
doaj +1 more source
PbAT: A user‐friendly R/Shiny platform for data‐driven decision support in crop improvement
Abstract Premise Modern plant breeding requires robust analysis of complex, multi‐environment datasets to identify superior genotypes. Although R offers powerful statistical packages, their use often requires programming expertise. Existing graphical user interface (GUI)‐based tools are either limited in scope or not openly accessible, leaving breeders
Krishnan P. Abhijith +6 more
wiley +1 more source
Dynamic survival risk prediction with time‐varying high‐dimensional images
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu +7 more
wiley +1 more source

