基于产量统计模型的玉米生长模型

Adityan Kumare
{"title":"基于产量统计模型的玉米生长模型","authors":"Adityan Kumare","doi":"10.38007/ajas.2022.030305","DOIUrl":null,"url":null,"abstract":": Corn is one of the main agricultural crops in China, but the agricultural technology conversion rate of corn cultivation is not high. The growth cycle of corn is longer and the process is more complicated. In addition to being affected by internal physiological mechanisms, the growth of maize has a great influence on its growth environment, especially the light environment. During the growth process, the interaction between corn and light environment is constantly underway. Corn planting time is also an important factor affecting corn yield. The difference in sowing date directly affects the growth and development stages of corn. The purpose of this paper is to study the growth pattern of corn based on a statistical model of yield. In terms of methods, it is proposed to use the inverse ray tracing algorithm to calculate the light energy reflected and absorbed by the corn, and establish a model to analyze the sensitivity of the area, mainly in terms of leaf area index, temperature, and moisture to analyze corn yield. Establish a corn growth model, and construct it from four aspects: yield, photosynthesis, temperature, and moisture. Finally, comprehensive supplements were made, and planting conditions continued to be optimized at planting density. In terms of experiments, the meteorological data and soil parameters of the plantation site were investigated. Finally, the experiment was divided into four groups, one was for home planting; the other was for planting at different intervals, the other was normal; the three were for drip irrigation, and the other was normal Four groups were planted using the improved strategies proposed in this paper. It is concluded that under drip irrigation conditions, the grain filling rate can be significantly increased, which will lead to an increase in 100-grain weight during maturity. With the increase of the population density, the competition among individuals within the group for light, temperature, water, and fertilizer is intensified. For better individual development, the individual plant height and ear height have been continuously increased in order to obtain more light energy","PeriodicalId":396836,"journal":{"name":"Academic Journal of Agricultural Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Corn Growth Model Based on Yield Statistical Model\",\"authors\":\"Adityan Kumare\",\"doi\":\"10.38007/ajas.2022.030305\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": Corn is one of the main agricultural crops in China, but the agricultural technology conversion rate of corn cultivation is not high. The growth cycle of corn is longer and the process is more complicated. In addition to being affected by internal physiological mechanisms, the growth of maize has a great influence on its growth environment, especially the light environment. During the growth process, the interaction between corn and light environment is constantly underway. Corn planting time is also an important factor affecting corn yield. The difference in sowing date directly affects the growth and development stages of corn. The purpose of this paper is to study the growth pattern of corn based on a statistical model of yield. In terms of methods, it is proposed to use the inverse ray tracing algorithm to calculate the light energy reflected and absorbed by the corn, and establish a model to analyze the sensitivity of the area, mainly in terms of leaf area index, temperature, and moisture to analyze corn yield. Establish a corn growth model, and construct it from four aspects: yield, photosynthesis, temperature, and moisture. Finally, comprehensive supplements were made, and planting conditions continued to be optimized at planting density. In terms of experiments, the meteorological data and soil parameters of the plantation site were investigated. Finally, the experiment was divided into four groups, one was for home planting; the other was for planting at different intervals, the other was normal; the three were for drip irrigation, and the other was normal Four groups were planted using the improved strategies proposed in this paper. It is concluded that under drip irrigation conditions, the grain filling rate can be significantly increased, which will lead to an increase in 100-grain weight during maturity. With the increase of the population density, the competition among individuals within the group for light, temperature, water, and fertilizer is intensified. For better individual development, the individual plant height and ear height have been continuously increased in order to obtain more light energy\",\"PeriodicalId\":396836,\"journal\":{\"name\":\"Academic Journal of Agricultural Sciences\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Academic Journal of Agricultural Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.38007/ajas.2022.030305\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Academic Journal of Agricultural Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.38007/ajas.2022.030305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

玉米是中国的主要农作物之一,但玉米种植的农业技术转化率不高。玉米的生长周期较长,过程较复杂。玉米的生长除了受内部生理机制的影响外,还受其生长环境,尤其是光环境的影响很大。在玉米生长过程中,玉米与光环境的相互作用是不断进行的。玉米种植时间也是影响玉米产量的重要因素。播期的不同直接影响玉米的生长发育阶段。本文的目的是研究基于产量统计模型的玉米生长模式。在方法上,提出利用光线逆追踪算法计算玉米反射和吸收的光能,并建立面积敏感性分析模型,主要根据叶面积指数、温度和湿度分析玉米产量。建立玉米生长模型,从产量、光合作用、温度、水分四个方面构建玉米生长模型。最后进行综合补充,在种植密度下继续优化种植条件。在试验方面,对人工林立地的气象资料和土壤参数进行了调查。最后将试验分为四组,一组为家庭种植;另一种为不同间隔期种植,另一种为正常种植;4组采用本文提出的改良策略种植。综上所述,滴灌条件下可显著提高籽粒灌浆率,从而导致成熟期百粒重的增加。随着种群密度的增加,群体内个体对光、温度、水和肥料的竞争加剧。为了获得更好的单株发育,不断提高单株株高和穗高,以获得更多的光能
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Corn Growth Model Based on Yield Statistical Model
: Corn is one of the main agricultural crops in China, but the agricultural technology conversion rate of corn cultivation is not high. The growth cycle of corn is longer and the process is more complicated. In addition to being affected by internal physiological mechanisms, the growth of maize has a great influence on its growth environment, especially the light environment. During the growth process, the interaction between corn and light environment is constantly underway. Corn planting time is also an important factor affecting corn yield. The difference in sowing date directly affects the growth and development stages of corn. The purpose of this paper is to study the growth pattern of corn based on a statistical model of yield. In terms of methods, it is proposed to use the inverse ray tracing algorithm to calculate the light energy reflected and absorbed by the corn, and establish a model to analyze the sensitivity of the area, mainly in terms of leaf area index, temperature, and moisture to analyze corn yield. Establish a corn growth model, and construct it from four aspects: yield, photosynthesis, temperature, and moisture. Finally, comprehensive supplements were made, and planting conditions continued to be optimized at planting density. In terms of experiments, the meteorological data and soil parameters of the plantation site were investigated. Finally, the experiment was divided into four groups, one was for home planting; the other was for planting at different intervals, the other was normal; the three were for drip irrigation, and the other was normal Four groups were planted using the improved strategies proposed in this paper. It is concluded that under drip irrigation conditions, the grain filling rate can be significantly increased, which will lead to an increase in 100-grain weight during maturity. With the increase of the population density, the competition among individuals within the group for light, temperature, water, and fertilizer is intensified. For better individual development, the individual plant height and ear height have been continuously increased in order to obtain more light energy
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信