Seed exchange networks for agrobiodiversity conservation. A review
The circulation of seed among farmers is central to agrobiodiversity conservation and
dynamics. Agrobiodiversity, the diversity of agricultural systems from genes to varieties and …
dynamics. Agrobiodiversity, the diversity of agricultural systems from genes to varieties and …
Integrated breeding approaches for improving drought and heat adaptation in chickpea (Cicer arietinum L.)
Chickpea (Cicer arietinum L.) is a dry season food legume largely grown on residual soil
moisture after the rainy season. The crop often experiences moisture stress towards end of …
moisture after the rainy season. The crop often experiences moisture stress towards end of …
DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants
Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement
in plants. Traditional methods typically use linear regression models with clear assumptions; …
in plants. Traditional methods typically use linear regression models with clear assumptions; …
Genomic history and ecology of the geographic spread of rice
Rice (Oryza sativa) is one of the world's most important food crops, and is comprised largely
of japonica and indica subspecies. Here, we reconstruct the history of rice dispersal in Asia …
of japonica and indica subspecies. Here, we reconstruct the history of rice dispersal in Asia …
Genomic prediction of breeding values when modeling genotype× environment interaction using pedigree and dense molecular markers
Genomic selection (GS) has become an important aid in plant and animal breeding.
Multienvironment (multitrait) models allow borrowing of information across environments …
Multienvironment (multitrait) models allow borrowing of information across environments …
Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers
The availability of dense molecular markers has made possible the use of genomic selection
(GS) for plant breeding. However, the evaluation of models for GS in real plant populations …
(GS) for plant breeding. However, the evaluation of models for GS in real plant populations …
Predicting quantitative traits with regression models for dense molecular markers and pedigree
The availability of genomewide dense markers brings opportunities and challenges to
breeding programs. An important question concerns the ways in which dense markers and …
breeding programs. An important question concerns the ways in which dense markers and …
[图书][B] Introduction to plant biotechnology (3/e)
HS Chawla - 2011 - taylorfrancis.com
This book has been written to meet the needs of students for biotechnology courses at
various levels of undergraduate and graduate studies. This book covers all the important …
various levels of undergraduate and graduate studies. This book covers all the important …
Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods
Prediction of genetic values is a central problem in quantitative genetics. Over many
decades, such predictions have been successfully accomplished using information on …
decades, such predictions have been successfully accomplished using information on …
Association analysis of historical bread wheat germplasm using additive genetic covariance of relatives and population structure
Linkage disequilibrium can be used for identifying associations between traits of interest and
genetic markers. This study used mapped diversity array technology (DArT) markers to find …
genetic markers. This study used mapped diversity array technology (DArT) markers to find …