Genetic and molecular bases of rice yield.

By Yongzhong Xing, Qifa Zhang. Annual Review of Plant Biology, 2010

874 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/830d0bc466490304d60eb22d46c94f7e9be5dc9a

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Citations in the corpus

Natural variation in GS5 plays an important role in regulating grain size and yield in rice (2011, background): “Grain size is a major determinant of grain yield in cereals and is a target trait for both domestication and artificial breedin”
GROWSCREEN-Rhizo is a novel phenotyping robot enabling simultaneous measurements of root and shoot growth for plants grown in soil-filled rhizotrons. (2012, background): “In the past, breeding for new varieties with higher yield has mainly 10 focused on optimising shoot biomass accumulation, geometry, and function (Gonzalez et al. 11 2009; Xing and Zhang 2010).”
Breeding high-yield superior quality hybrid super rice by rational design (2016, neutral): “org) [50].”
Genome Editing—Principles and Applications for Functional Genomics Research and Crop Improvement (2017, background): “A. Improved yield Grain yield is mainly determined by grain number, size and weight, all of which are typical quantitative traits, and many genes affecting crop yield have been characterized (Xing and Zhang, 2010; Bai et al., 2012).”
Linking differential domain functions of the GS3 protein to natural variation of grain size in rice (2010, background): “Although a number of QTLs for tillering (10), grain number (11, 12), grain size (8, 13–15), and panicle size and plant architecture (16–18) have been cloned, molecular characterization of these and many more genes is needed to understand the genetic and molecular bases of yield (9).”
Comprehending crystalline β-carotene accumulation by comparing engineered cell models and the natural carotenoid-rich system of citrus (2011, neutral): “one or a few yield components (reviewed by Miura et al., 2011; Xing and Zhang, 2011).”
Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa (2011, background): “, orthologues from other plant species, and genomic targets of fine-mapping experiments related to harvest index and yiel”
Association Mapping for Enhancing Maize (Zea mays L.) Genetic Improvement (2011, background): “This approach is already being pursued to breed higher yielding and more stress-tolerant rice (Takeda and Matsuoka, 2008; Xing and Zhang, 2010).”