To quantitatively analyze the regularity and characteristics of tillering dynamics of rice at different sowing dates. In this paper, the whole process of rice tillering was decomposed into two aspects: tiller occurrence and tiller extinction, and two Logistic functions were used to describe them respectively, so as to establish a dynamic tillering model in rice based on double Logistic function (). Then, according to , dynamic tillering indexes () were defined and their calculation formulas were derived. Finally, the characteristics and laws of rice tillering dynamic response to sowing dates were analyzed using and with the observed tillering data of three rice varieties, (Hui-Liangyou 898 (HLY898), Y-Liangyou 900 (YLY900) and Y-Liangyou 911 (YLY911)), in six sowing dates (March 15, March 20, March 25, March 30, April 5, April 10). The results show that: 1. The model fits well. The normalized RMSE (RMSEn) of the fitted to the observed tillering data of different rice varieties sown at different times were all less than 10 %, and their mean values were less than 5 %. 2.The variation degree of under the influence of sowing dates had certain consistency among the three rice varieties. the inherent rate of tillering ( ), the maximum tillering rate ( ), the maximum tillers extinction rate ( ) and the duration of tillering ( ) varied greatly, while the total number of grow tillers ( ), the peak time of tillering ( ), the peak time of tillers extinction ( ) and the end time of tillering ( ) had smaller variation. 3. The eight , the inherent rate of tillering ( ), the duration of tillering ), the maximum tillering rate ( ), the number of retained tillers ( ), the peak time of tillering ( ), the end time of tillering ( ), the start time of tillers extinction ( ) and duration of tillers extinction ( ), had a consistent linear response to the sowing dates among the three rice varieties. 4. Under different sowing dates, the dynamic characteristics of tillering of YLY900 and YLY911 were relatively close, while HLY898 had great differences from YLY900 and YLY911. In this paper, the evolution process of the number of tillers of rice was accurately described by the , and the regularity and characteristics of tillering dynamics of rice were deeply revealed using the , with agronomic experiment of three varieties with six sowing dates. Therefore, it has important theoretical value to deeply understand the law of the tillering dynamic of rice affected by sowing dates and has important practical significance for guiding accurate planting and fine management of rice production from the perspective of grasping tillering dynamics.
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http://dx.doi.org/10.1016/j.heliyon.2024.e38443 | DOI Listing |
Food Sci Nutr
January 2025
Seed and Plant Improvement Institute Agricultural Research, Education and Extension Organization (AREEO) Dezful Iran.
High temperatures can impede the growth and development of soybean plants, resulting in decreased yield and seed quality. Heat-induced damage can be mitigated by adjusting sowing date and selecting genotypes that are suitable for cultivation in hot climates. A 2-year (2017-2018) field experiment was conducted at Safiabad Agricultural and Natural Resources Research and Education Center, employing a split-plot design with three replications.
View Article and Find Full Text PDFMicroorganisms
November 2024
College of Horticulture and Plant Protection, Inner Mongolia Agricultural University, Hohhot 010019, China.
Sunflower Wilt (SVW) caused by is a significant threat to sunflower production in China. This soilborne disease is difficult to control. It has been observed that delayed sowing reduces the severity of SVW on different varieties and across various locations.
View Article and Find Full Text PDFFront Plant Sci
December 2024
College of Life Sciences, Jilin Agricultural University, Changchun, China.
[This corrects the article DOI: 10.3389/fpls.2024.
View Article and Find Full Text PDFHeliyon
October 2024
Agricultural and Horticultural Science Research Department, Khorasan Razavi Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization, Mashhad, 91769-83641, Iran.
Evaluating the adaptability and yield stability of wheat varieties across different sowing dates is crucial for the success of breeding programs. In this study, we used Additive Main Effects and Multiplicative Interactions (AMMI) and Genotype × Genotype-Environment (GGE) biplot analyses to evaluate the performance of 13 wheat varieties across eight sowing dates. The main objective was to compare varieties and sowing dates to identify the most stable varieties for cultivation.
View Article and Find Full Text PDFEnviron Monit Assess
October 2024
Hydraulics and Water Resources Engineering Division, Department of Civil Engineering, Indian Institute of Technology, Madras, Chennai, 600036, India.
The absence of spatial and temporal cropping information in semi-arid regions poses a significant challenge in assessing the dynamics of agricultural systems at river basin scales. Satellite remote sensing provides qualitative and quantitative information to derive vegetation dynamics over extensive areas of inherent complexities due to limitations in the availability of field data and the diverse nature of agricultural cropping practices. Utilizing phenological information derived from MODIS Normalized Difference Vegetation Index (NDVI) time series data from 2003-2004 to 2021-2022, this study derives major crop types, and cropping calendar (sowing, maturity, and harvest dates) for each season and year at 250-m resolution.
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