Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Harkamal, Walia"'
Publikováno v:
BMC Plant Biology, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background Wheat grain development in the first few days after pollination determines the number of endosperm cells that influence grain yield potential and is susceptible to various environmental conditions, including high night temperature
Externí odkaz:
https://doaj.org/article/dbb35e068b944c93994f664e473ddc6b
Autor:
Anil Kumar Nalini Chandran, Puneet Paul, Balpreet K. Dhatt, Jaspreet Sandhu, Larissa Irvin, Shohei Oguro, Yu Shi, Chi Zhang, Harkamal Walia
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Heat stress (HS) occurring during the grain-filling period has a detrimental effect on grain yield and quality in rice (Oryza sativa). The development of heat-resilient cultivars could partly solve this issue if tolerant alleles can be identified and
Externí odkaz:
https://doaj.org/article/05ce6a58628740e8b0727dc31e6e8dc5
Publikováno v:
Frontiers in Plant Science, Vol 14 (2024)
IntroductionSeed vigor is largely a product of sound seed development, maturation processes, genetics, and storage conditions. It is a crucial factor impacting plant growth and crop yield and is negatively affected by unfavorable environmental condit
Externí odkaz:
https://doaj.org/article/3b0ad9620f4d442397a6791b14b16c4b
Autor:
Cherryl Quiñones, Maria Arlene Adviento‐Borbe, Wenceslao Larazo, Rodney Shea Harris, Kharla Mendez, Shannon S. Cunningham, Zachary C. Campbell, Karina Medina‐Jimenez, Nathan T. Hein, Dan Wagner, Brian Ottis, Harkamal Walia, Argelia Lorence
Publikováno v:
Plant Phenome Journal, Vol 6, Iss 1, Pp n/a-n/a (2023)
Abstract High night air temperature (HNT) stress negatively impacts both rice (Oryza sativa L) yield and grain quality and has been extensively investigated because of the significant yield loss observed (10%) for every increase in air temperature (1
Externí odkaz:
https://doaj.org/article/4eb51c71e06c468f8629ad8012fb7ae0
Autor:
Jaspinder Singh Dharni, Balpreet Kaur Dhatt, Puneet Paul, Tian Gao, Tala Awada, Harel Bacher, Zvi Peleg, Paul Staswick, Jason Hupp, Hongfeng Yu, Harkamal Walia
Publikováno v:
Plant Methods, Vol 18, Iss 1, Pp 1-14 (2022)
Abstract Background Our understanding of the physiological responses of rice inflorescence (panicle) to environmental stresses is limited by the challenge of accurately determining panicle photosynthetic parameters and their impact on grain yield. Th
Externí odkaz:
https://doaj.org/article/4ee6126998ea498784dbb7326af3745d
Autor:
Ye Bi, Rafael Massahiro Yassue, Puneet Paul, Balpreet Kaur Dhatt, Jaspreet Sandhu, Phuc Thi Do, Harkamal Walia, Toshihiro Obata, Gota Morota
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 13, Iss 5 (2023)
AbstractThe asymmetric increase in average nighttime temperatures relative to increase in average daytime temperatures due to climate change is decreasing grain yield and quality in rice. Therefore, a better genome-level understanding of the impact o
Externí odkaz:
https://doaj.org/article/f29fbdbef82e4e44b367d1e60a9bee5d
Autor:
Huihui Yu, Mu Li, Jaspreet Sandhu, Guangchao Sun, James C. Schnable, Harkamal Walia, Weibo Xie, Bin Yu, Jeffrey P. Mower, Chi Zhang
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
The small size (≤15-nt) of micorexons poses difficulties for genome annotation and identification using standard RNA sequence mapping approaches. Here, the authors develop computational pipelines to discover and predict microexons in plants and rev
Externí odkaz:
https://doaj.org/article/d78bfe05e81f4eafbb8482b0854b8347
Autor:
Anil Kumar Nalini Chandran, Jaspreet Sandhu, Larissa Irvin, Puneet Paul, Balpreet K. Dhatt, Waseem Hussain, Tian Gao, Paul Staswick, Hongfeng Yu, Gota Morota, Harkamal Walia
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Heat stress occurring during rice (Oryza sativa) grain development reduces grain quality, which often manifests as increased grain chalkiness. Although the impact of heat stress on grain yield is well-studied, the genetic basis of rice grain quality
Externí odkaz:
https://doaj.org/article/500de6a9e55f4d188b96a32046fa0ee2
Publikováno v:
Sensors, Vol 23, Iss 9, p 4370 (2023)
A framework combining two powerful tools of hyperspectral imaging and deep learning for the processing and classification of hyperspectral images (HSI) of rice seeds is presented. A seed-based approach that trains a three-dimensional convolutional ne
Externí odkaz:
https://doaj.org/article/9b3972dd2f4c4d3792ca1302fd626f65
Publikováno v:
Sensors, Vol 23, Iss 7, p 3515 (2023)
Graph convolutional neural network architectures combine feature extraction and convolutional layers for hyperspectral image classification. An adaptive neighborhood aggregation method based on statistical variance integrating the spatial information
Externí odkaz:
https://doaj.org/article/0d84f4573a9f40f79e5ad7f3938955fe