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Crop growth largely depends on radiation. Radiation is the main impetus for photosynthesis and movement of photosynthates from source to sink. Therefore, identification of the optimum sowing windows and suitable cultivars for efficient utilization of radiation is of prime importance. A field study was conducted in red clay soil during 2014 and 2015 season and the treatments consisted of three genotypes and three sowing windows by using randomized complete block design with three replications. The effect of genotypes and sowing windows was found significant with respect to number of trifoliate leaves, leaf area ratio, dry matter production, grain numbers, pod length, test weight, grain yield, and stover yield of guar during 2014 as compared to 2015 sown crop. Statistically significant plant height, number of trifoliate leaves, number of branches, leaf area ratio, absolute growth rate, leaf area index, dry matter, grain number, pod length, grain yield, stover yield and a higher cumulative radiation interception were recorded with 15th August sown crop as compared to other sowing windows. The plant height, number of trifoliate leaves, number of branches, leaf area ratio, absolute growth rate, leaf area index, dry matter, grain number, pod length, grain yield, stover yield and maximum cumulative interception of radiation were significant with RGC-1003 as compared to RGC-936 and HG-365. It is observed that the incident PAR to dry matter accumulation conversion efficiency was varied with cultivars and different sowing windows which ranges from 0.74 g MJ to 0.79 g MJ.
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http://dx.doi.org/10.1016/j.sjbs.2021.03.010 | DOI Listing |
Sci Rep
July 2025
Department of Crop Sciences, Tropical Plant Production and Agricultural Systems Modelling (TROPAGS), University of Goettingen, Grisebachstr. 6, 37077, Goettingen, Germany.
Climate change is causing more frequent and extraordinary extreme weather events that are already negatively affecting crop production. There is a need for improved climate risk assessment by developing smart adaptation strategies for sustainable future crop production. This study aims to assess yield impacts of extreme temperatures and rainfall variability on wheat, and winter and summer season-planted maize in northwestern Bangladesh.
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July 2025
Lincoln Institute for Agri-Food Technology, University of Lincoln, Lincoln, UK.
The ability of weed populations to adapt is pivotal for their success in overcoming adverse conditions, including control measures and climate change. Here, we show evidence for the local adaptation of blackgrass (Alopecurus myosuroides) and Italian ryegrass (Lolium multiflorum) to the distinct seasonal windows for crop establishment. We assessed germination, flowering, and fecundity traits in 16 parental populations (eight each of A.
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May 2025
Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, QLD, Australia.
Mungbean (Vigna radiata L.), a valuable sub-tropical grain legume, typically has a long, asynchronous flowering window, increasing vulnerability to abiotic stress and complicating harvest. To facilitate breeding, we extensively studied days to flowering (DTF) and the novel trait flowering duration (FD) in multi-environment trials.
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April 2025
University of Agricultural Sciences, Dharwad, Karnataka, India.
Background: Climate influenced weather events, especially during the flowering, grain filling, and maturity stages, can adversely influence crop yield and quality. Therefore, understanding how the phenological behaviour and yield potential of new crops such as chia are influenced by weather and sowing dates is crucial for maximizing crop yield. This study aimed to assess the impact of sowing dates on the flowering behaviour, and yield attributes of chia morphotypes, as well as to identify optimal weather conditions for achieving higher yields.
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December 2024
Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, Guangdong, China.
Targeting the issues of seed leakage and cutting segment adhesion due to poor seed feeding and cutting in real-time seed-cutting cassava planters, this study developed a seeding quality monitoring system. Based on the structure and working principle of the seed cutting and discharging device, the installation methods of the matrix fiber optic sensor and rotary encoder were determined. By combining the operational characteristics of the planter's ground wheel drive with seed cutting and seed dropping, a monitoring model correlating the sowing parameters with seed dropping time was established; a monitoring window was created by extracting and processing the rotary encoder pulse signal, and the number of seeds sown after each opposing cutter's operation was calculated based on the pulse width information within the monitoring window.
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