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Development of rice cultivars bearing numerous spikelets by breeding approach to increase the yearly production of rice to approximately 800 million metric tons to feed the ever increasing population of the world accompanies poor grain filling in the inferior spikelets preventing achievement of the yield potential. As the initial stages of caryopses development are of much importance for grain filling, spatio-temporal expressions of the miRNAs were studied during these periods in the spikelets of a compact-panicle rice cultivar, Oryza sativa cv. Mahalaxmi, bearing numerous spikelets per panicle to understand the reason of poor grain filling at the level of the initial biochemical events. Differential expression of several known miRNAs between the superior and inferior spikelets suggested great difference in metabolism related to grain filling in the spikelets based on their spatial location on compact panicle. Expressions of five known and four novel miRNAs were validated by Northern. Their targets included the enzymes directly involved in starch biosynthesis like sucrose synthase, starch synthase and pullulanase, besides others. Spatio-temporal expression studies of these miRNAs in the spikelets of Mahalaxmi revealed a pattern of mostly a greater expression in the inferior spikelets compared with the superior ones concomitant with an inverse expression of the target genes, which was not observed in the lax-panicle cultivar Upahar. The study thus revealed that the grain filling in rice is greatly regulated by miRNAs, and these miRNAs or their target genes could be considered for biotechnological interventions for improving grain filling in the rice cultivars of interest.
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http://dx.doi.org/10.1016/j.plaphy.2020.12.020 | DOI Listing |
Plant Biotechnol J
September 2025
Queensland Alliance for Agriculture and Food Innovation (QAAFI), University of Queensland, St Lucia, Queensland, Australia.
Gene expression of developing seeds drives essential processes such as nutrient storage, stress tolerance and germination. However, the spatial organisation of gene expression within the complex structure of the seed remains largely unexplored. Here we report the use of the STOmics spatial transcriptomics platform to visualise spatial expression patterns in the wheat (Triticum aestivum) seed at the critical period of grain filling in mid-seed development.
View Article and Find Full Text PDFPlant Genome
September 2025
International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Estado de Mexico, Mexico.
Genomic selection is an extension of marker-assisted selection by leveraging thousands of molecular markers distributed across the genome to capture the maximum possible proportion of the genetic variance underlying complex traits. In this study, genomic prediction models were developed by integrating phenological, physiological, and high-throughput phenotyping traits to predict grain yield in bread wheat (Triticum aestivum L.) under three environmental conditions: irrigation, drought stress, and terminal heat stress.
View Article and Find Full Text PDFBMC Genomics
September 2025
Wheat Research Center, Henan Institute of Science and Technology, Xinxiang, 453000, China.
Background: As wheat is a globally important staple crop, the molecular regulatory network underlying heterosis in wheat remains incompletely understood. The flag leaf is the primary source of photoassimilates during grain filling and plays a crucial role in yield formation. However, the genetic mechanisms linking flag leaf development to heterosis are still unclear.
View Article and Find Full Text PDFFood Chem X
August 2025
Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College, Yangzhou University, Yangzhou 225009, China.
Water scarcity is the major challenge to sustainable rice production. This study examines how alternate wetting and moderate soil drying (AWMD), a widely adopted water-saving practice, influences grain-filling dynamics and starch physicochemical properties in both superior grains (located on apical primary branches, flower earlier) and inferior ones (located on proximal secondary branches, flower later). Results showed that AWMD enhanced grain-filling in inferior grains: it increased the mean (G) and peak (G) filling rates by 26.
View Article and Find Full Text PDFFront Plant Sci
August 2025
National Institute of Crop and Food Science, Rural Development Administration, Wanju-gun, Republic of Korea.
Introduction: Rising global populations and climate change necessitate increased agricultural productivity. Most studies on rice panicle detection using imaging technologies rely on single-time-point analyses, failing to capture the dynamic changes in panicle coverage and their effects on yield. Therefore, this study presents a novel temporal framework for rice phenotyping and yield prediction by integrating high-resolution RGB imagery with deep learning-based semantic segmentation.
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