نتایج جستجو برای: tillering and heading namely s1 50

تعداد نتایج: 16887375  

2013
Li Wang Fei Deng Wan-Jun Ren Wen-Yu Yang

Rice is an important staple crop throughout the world, but environmental stress like low-light conditions can negatively impact crop yield and quality. Using pot experiments and field experiments, we studied the effects of shading on starch pasting viscosity and starch content with six rice varieties for three years, using the Rapid Visco Analyser to measure starch pasting viscosity. Shading at...

2012
Yoshimichi Fukuta Kunihiko Konisho Sachiko Senoo-Namai Seiji Yanagihara Hiroshi Tsunematsu Ayumi Fukuo Takashi Kumashiro

A total of 18 rainfed upland New Rice for Africa (NERICA) varieties were categorized as the heavy panicle and low tillering types and early heading, in compared with 32 different varieties. These chromosome components were clarified using 243 SSR markers which showed polymorphism among NERICA varieties and their parents, CG 14 (O. glaberrima Steud.) and one of the recurrent parents, WAB-56-104 ...

2016
Xiang Li Kuaifei Xia Zhen Liang Kunling Chen Caixia Gao Mingyong Zhang

Rice tillering has an important influence on grain yield, and is promoted by nitrogen (N) fertilizer. Several genes controlling rice tillering, which are regulated by poor N supply, have been identified. However, the molecular mechanism associated with the regulation of tillering based on N supply is poorly understood. Here, we report that rice microRNA393 (OsmiR393) is involved in N-mediated t...

A. Soltani A.R. Sepaskhah, M.R. Neishabouri N. Davatgar

Sustainability of rice production under limited water conditions is threatened by increasing irrigation water scarcity. Therefore, physiological and morphological responses of rice to varying water stress management strategies should be determined. The physiological and morphological responses of a semi dwarf rice (Hashemi cultivar) to water stress intensities (mild and severe, i.e., short-dura...

Journal: :Annals of botany 2010
Hae Koo Kim Delphine Luquet Erik van Oosterom Michael Dingkuhn Graeme Hammer

BACKGROUND AND AIMS Genotypic variation in tillering can be caused by differences in the carbon supply-demand balance within a plant. The aim of this study was to understand and quantify the effects of genotype on tillering as a consequence of the underlying internal competition for carbohydrates. METHODS Five sorghum hybrids, derived from inbred lines with a common genetic background and wit...

Journal: :Agrosystems, geosciences & environment 2023

Drought stress (DS) at different growth stages of spring wheat (Triticum aestivum L.) may affect its grain yield and end-use quality differently. The impact drought on has been widely studied, but the not thoroughly investigated. A 2-year field experiment was conducted to evaluate effects DS in classes (soft white ‘Alturas,’ hard red ‘Coho,’ ‘Dayn’). treatments included (from tillering stem elo...

2014
Carina Moeller Jochem B. Evers Greg Rebetzke

Tillering is a core constituent of plant architecture, and influences light interception to affect plant and crop performance. Near-isogenic lines (NILs) varying for a tiller inhibition (tin) gene and representing two genetic backgrounds were investigated for tillering dynamics, organ size distribution, leaf area, light interception, red: far-red ratio, and chlorophyll content. Tillering ceased...

Journal: :International Journal of Plant Production 2022

Abstract Rice is the primary staple food for more than 50% of world’s population. Narrowing gap between maximum potential crop yield and actual critical improving current yield, resource use efficiency, global security. Here, we examined fertilizer efficiency (FUE), radiation (RUE), temperature production (TPE) four management treatments (super high [SH], [HH], farmer level [FP], basic [CK]). S...

Journal: :Agriculture 2022

Rice (Oryza sativa L.) growth prediction is key for precise rice production. However, the traditional linear forecasting model ineffective under rapidly changing climate conditions. Here we show that rate (Gr) can be well-predicted by artificial intelligence (AI)-based neural networks (ANN) and gene-expression programming (GEP), with accumulated air temperatures based on degree day (GDD). In to...

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