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Deployment of the Rht-B1b and Rht-D1b dwarfing genes helped facilitate the Green Revolution to increase wheat yields globally. Much is known of the influence of these genes on plant height and agronomic performance, but not of their effects on root architecture. We assessed 29 near-isogenic lines (NILs) representing 11 Green Revolution and alternative dwarfing genes across multiple genetic backgrounds for root architecture characteristics in controlled and field environments. Genetic background did not influence plant height, but had a small and significant (P<0.05) effect on root architecture. All dwarfing gene NILs were significantly (P<0.01) shorter compared with tall controls. The Green Revolution Rht-B1b and Rht-D1b sometimes had longer seedling roots but were not different from their respective tall controls for root depth in the field. The Rht8, Rht12, and Rht18 dwarfing gene NILs produced long seminal roots in seedling pouches, and a greater maximum rooting depth (MRD) and root penetration rate (RPR) in the field. Genotypic increases in MRD and RPR were strongly correlated with increased harvest index and grain yield, particularly in dry environments. Careful root phenotyping highlights the potential of novel dwarfing genes for wheat genetic improvement under water-limited conditions.
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http://dx.doi.org/10.1093/jxb/erac306 | DOI Listing |
Zool Res
September 2025
MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, Shandong 266003, China.
Bivalve mollusks represent a taxonomically and economically significant clade within Mollusca. However, the regulatory mechanisms governing their embryonic development remain poorly characterized. The dwarf surf clam ( ), characterized by a short generation time and high fecundity, has recently gained recognition as an ideal model system for bivalve embryological research.
View Article and Find Full Text PDFPlant Physiol Biochem
September 2025
State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. Electronic address:
Cabbage (Brassica oleracea var. capitata) is an important vegetable crop that is widely cultivated throughout the world. Plant height is a key agronomic trait in cabbage, influencing architecture and yield, and is mainly determined by cell division and stem expansion.
View Article and Find Full Text PDFJ Integr Plant Biol
September 2025
State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Zhongshan Biological Breeding Laboratory, National Center for Soybean Improvement, National Innovation Platform for Soybean Breeding and Industry-Education Integration, Key Laboratory for Biology and Genetic Improvement o
Soybean is an important source of oil, protein, and feed. However, its yield is far below that of major cereal crops. The green revolution increased the yield of cereal crops partially through high-density planting of lodging-resistant semi-dwarf varieties, but required more nitrogen fertilizers, posing an environmental threat.
View Article and Find Full Text PDFPlants (Basel)
August 2025
Key Laboratory of Germplasm Innovation and Genetic Improvement of Grain and Oil Crops (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China.
Leaf morphology significantly impacts rice ( L.) plant architecture and yield. Here, we identified and characterized a novel narrow-leaf mutant, , derived from indica rice cultivar 'Huazhan' using EMS mutagenesis.
View Article and Find Full Text PDFGenes (Basel)
August 2025
State Key Laboratory of Swine and Poultry Breeding Industry, South China Agricultural University, Guangzhou 510642, China.
Background: Genome-wide association studies (GWAS) have been extensively employed to elucidate the genetic architecture of body weight (BW) traits in chickens, which represent key economic indicators in broiler production. With the growing availability of genomic data from diverse commercial and resource chicken populations, a critical challenge lies in how to effectively integrate these datasets to enhance sample size and thereby improve the statistical power for detecting genetic variants associated with complex traits.
Methods: In this study, we performed a multi-population GWAS meta-analysis on BW traits across three genetically distinct chicken populations, focusing on BW at 56, 70, and 84 days of age: P1 (N301 Yellow Plumage Dwarf Chicken Line; = 426), P2 (F2 reciprocal cross: High Quality Line A × Huiyang Bearded chicken; = 494), and P3 (F2 cross: Black-bone chicken × White Plymouth Rock; = 223).