Results 171 to 180 of about 211,250 (391)

Deciphering Cold Stress Resilience: Multiomics Insights in Contrasting Wheat Genotypes From the Western Himalayas

open access: yesPlant Biotechnology Journal, EarlyView.
ABSTRACT Cold stress threatens wheat productivity, particularly in regions with extreme climatic conditions. To elucidate the molecular mechanisms underlying wheat's response to cold stress, we performed a multiomics analysis integrating lipidomics, transcriptomics, proteomics and metabolomics.
Sofora Jan   +15 more
wiley   +1 more source

Dynamics of Gene and Allelic Expression During Modern Hybrid Maize Breeding

open access: yesPlant Biotechnology Journal, EarlyView.
ABSTRACT Maize breeding has greatly improved yield through single‐cross hybrids, but the underlying gene regulatory changes remain unclear. This study analysed transcriptomes of landmark maize hybrids and their parents across developmental stages and planting densities.
Xuyang Liu   +9 more
wiley   +1 more source

بررسی استفاده از پارامترهای گازهای خونی به عنوان صفات نشانگر در شاخص انتخاب برای کاهش میزان حساسیّت به آسیت در جوجه های گوشتی [PDF]

open access: yesتحقیقات تولیدات دامی, 2016
سندرم آسیت یک اختلال متابولیکی در جوجه­های گوشتی با رشد سریع است. به دلیل میزان تلفات بالای ناشی از این سندرم، زیان اقتصادی بالایی به صنعت طیور گوشتی وارد می­آید. صفات مرتبط به آسیت وراثت­پذیری بالایی دارند.
جواد احمدپناه   +3 more
doaj  

Quantifying microbiota impact on plant traits for the guidance of breeding programs

open access: yes
New Phytologist, EarlyView.
Manuel Blouin   +5 more
wiley   +1 more source

The Rice E3 Ubiquitin Ligase Gene OsPUB77 Regulates Head Milled Rice Rate by Affecting Grain Starch Accumulation

open access: yesPlant Biotechnology Journal, EarlyView.
ABSTRACT Head milled rice rate (HMRR) is a critical trait determining rice yield and economic value, yet its genetic basis remains poorly understood. Here, through genome‐wide association study across multiple environments, we identified a major QTL, qHMRR4‐2, and pinpointed OsPUB77, a U‐box E3 ubiquitin ligase, as the causal gene.
Shuai Nie   +12 more
wiley   +1 more source

(Re)-conciliation of genetics and genomics approaches for cotton fiber quality improvement [PDF]

open access: yes, 2008
The integration of genomics and plant breeding is driven by the increasing availability of sequence resources and by technological developments. The simultaneous measurement of the expression of thousands of genes is possible, and comparisons between ...
Al-Ghazi, Yves   +11 more
core  

QTL-seq: rapid mapping of quantitative trait loci in rice by whole genome resequencing of DNA from two bulked populations.

open access: yesThe Plant Journal, 2013
H. Takagi   +13 more
semanticscholar   +1 more source

AhBWR15, A Novel RLK Gene, Confers Resistance to Ralstonia solanacearum in Peanut

open access: yesPlant Biotechnology Journal, EarlyView.
ABSTRACT Bacterial wilt (BW), a severe soil‐borne disease caused by Ralstonia solanacearum, significantly impedes global peanut production. Despite its impact, the mechanisms underlying BW resistance in peanut remain unclear. Herein, we selected the highly resistant variety Nongdahua108 (H108) and the susceptible variety Nongdahua107 (H107) to develop ...
Zenghui Cao   +16 more
wiley   +1 more source

Identification of candidate genes associated with growth and development of sheep from a crossbred population using genome-wide association studies

open access: yesАграрная наука Евро-Северо-Востока
The article presents the results of a search for genome-wide associations with phenotypic traits characterizing the growth and development of sheep from a crossbred population obtained from crossing Romanov sheep and F1 hybrid rams (Romanov sheep x ...
T. E. Deniskova   +4 more
doaj   +1 more source

DNAwhisper: An Integrated Deep Learning Pyramidal Framework for Multi‐Trait Genomic Prediction and Adaptive Marker Prioritisation

open access: yesPlant Biotechnology Journal, EarlyView.
ABSTRACT Genomic selection (GS) is critical for accelerating genetic gain in modern plant breeding. Deep learning approaches offer powerful non‐linear representation capabilities for modelling non‐additive effects. However, their application in GS remains restricted, as high‐dimensional, low‐sample and noisy data hinder the identification of ...
Yuexin Ma   +7 more
wiley   +1 more source

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