bioRxivPlant BiologyPreprint
A new strategy for selection of crop cultivated varieties based on yield factors driving and meteorological prediction
R. Zhu, K. Sun, X. Yan, D. Xin, H. Jiang, Z. Zhang, Y. Li, Z. Hu, Z. Qi, C. Liu, Q. Chen
Abstract
Meteorological conditions, as an uncontrollable factor, have a direct impact on the growth and yield of crops in the field. Its particularly important to choose the cultivated varieties suitable for environmental change. As for this problem, a new strategy for selection of crop cultivated varieties is proposed in this paper. The experiment selected Harbin pilot (Heilongjiang, China) and Changchun pilot (Jilin, China). In the experiment, the cultivated varieties suitable for forecasting meteorological conditions in 2015 could be provided according to the meteorological data of 2005-2014 years and the yield data of different soybean varieties in Harbin pilot. The same method was also taken in Changchun pilot. The results showed that the recommended varieties of Harbin pilot and Changchun pilot had 70% and 50% probability respectively for selection of soybean cultivated varieties when the yield evaluation trait was 100-seed-weight. As for seed weight per plant, the possibility of more than 60% of the recommended varieties in two pilots is to provide prejudgment. Therefore, this method can help to improve the current situation of the impact of uncontrollable meteorological conditions on crop yield and also can be applied to the selection of any other crops cultivated varieties under a certain environment.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Optimized cultivar deployment improves the efficiency and stability of sunflower crop production at national scale
P. Casadebaig, A. Gauffreteau, … P. Debaeke·bioRxiv·Sep 21, 2020
- Imitating the 'breeder's eye': predicting grain yield from measurements of non-yield traits
Hongyu Jin, Michael C. Tross, … James C. Schnable·The Plant Phenome JournalPeer-reviewed·Apr 29, 2024
- Using soybean historical field trial data to study genotype by environment variation and identify mega-environments with the integration of genetic and non-genetic factors
Matheus Dalsente Krause, Kaio Olímpio das Graças Dias, … William Dale Beavis·Agronomy JournalPeer-reviewed·Jan 1, 2025
- Can crop phenology and plant height be channelized to improvise wheat productivity in diverse production environments?
D Mohan, H. M. Mamrutha, … GP Singh·bioRxiv·Oct 6, 2020
- Potato yield can be predicted using drone-captured and environmental measurements early in the growing season
Angelika Vižintin, Maja Zagorščak, … Kristina Gruden·bioRxiv·Apr 15, 2026
- Bayesian optimisation for yield in high-dimensional trait-space identifies crop ideotypes in Oil Seed Rape
A. Calderwood, L. Siles Suarez, … R. J. Morris·bioRxiv·Jul 19, 2021