Simone Puntel, Natália Teixeira Schwab, Luciano Zucuni Pes, Douglas Vicente Alchieri, Ricardo Bianchi Gatto, Mariano Abel Trachta
{"title":"鹰嘴豆品种叶面积估算的非破坏性模型","authors":"Simone Puntel, Natália Teixeira Schwab, Luciano Zucuni Pes, Douglas Vicente Alchieri, Ricardo Bianchi Gatto, Mariano Abel Trachta","doi":"10.1590/0034-737x202370050018","DOIUrl":null,"url":null,"abstract":"Chickpea is a winter legume with prospects for worldwide consumption growth, mainly demanded by Asian countries. Thus, studies on its growth, such as the leaf area (LA), are important to determine proper management practices for its cultivation. The objective of this work was to determine a mathematical model able to estimate the leaf area (LA) of chickpea in a non-destructive method. For this, a field experiment was carried out in the county of Santa Maria (RS), with five cultivars available in the national market. Several leaves of each cultivar were collected, and their greatest width (W) and longest length (L) were measured. With the aid of a scanner, these leaves were photocopied, and their LA (cm2) was determined using software. With the power model, models relating to LA and its dimensions were determined. These models were tested using various statistics, with independent data. The results indicate that for the cultivars BRS Aleppo, BRS Kalifa, Jamu, and BRS Toro the best model is LA= 0,0940.(L)1.8483 and for the cultivar BRS Cícero the best model is LA = 0,1092.L2.1815.","PeriodicalId":21236,"journal":{"name":"Revista Ceres","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Non-destructive models for leaf area estimation in chickpea cultivars (Cicer arietinum L.)\",\"authors\":\"Simone Puntel, Natália Teixeira Schwab, Luciano Zucuni Pes, Douglas Vicente Alchieri, Ricardo Bianchi Gatto, Mariano Abel Trachta\",\"doi\":\"10.1590/0034-737x202370050018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Chickpea is a winter legume with prospects for worldwide consumption growth, mainly demanded by Asian countries. Thus, studies on its growth, such as the leaf area (LA), are important to determine proper management practices for its cultivation. The objective of this work was to determine a mathematical model able to estimate the leaf area (LA) of chickpea in a non-destructive method. For this, a field experiment was carried out in the county of Santa Maria (RS), with five cultivars available in the national market. Several leaves of each cultivar were collected, and their greatest width (W) and longest length (L) were measured. With the aid of a scanner, these leaves were photocopied, and their LA (cm2) was determined using software. With the power model, models relating to LA and its dimensions were determined. These models were tested using various statistics, with independent data. The results indicate that for the cultivars BRS Aleppo, BRS Kalifa, Jamu, and BRS Toro the best model is LA= 0,0940.(L)1.8483 and for the cultivar BRS Cícero the best model is LA = 0,1092.L2.1815.\",\"PeriodicalId\":21236,\"journal\":{\"name\":\"Revista Ceres\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista Ceres\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1590/0034-737x202370050018\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Agricultural and Biological Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Ceres","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/0034-737x202370050018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
Non-destructive models for leaf area estimation in chickpea cultivars (Cicer arietinum L.)
Chickpea is a winter legume with prospects for worldwide consumption growth, mainly demanded by Asian countries. Thus, studies on its growth, such as the leaf area (LA), are important to determine proper management practices for its cultivation. The objective of this work was to determine a mathematical model able to estimate the leaf area (LA) of chickpea in a non-destructive method. For this, a field experiment was carried out in the county of Santa Maria (RS), with five cultivars available in the national market. Several leaves of each cultivar were collected, and their greatest width (W) and longest length (L) were measured. With the aid of a scanner, these leaves were photocopied, and their LA (cm2) was determined using software. With the power model, models relating to LA and its dimensions were determined. These models were tested using various statistics, with independent data. The results indicate that for the cultivars BRS Aleppo, BRS Kalifa, Jamu, and BRS Toro the best model is LA= 0,0940.(L)1.8483 and for the cultivar BRS Cícero the best model is LA = 0,1092.L2.1815.
期刊介绍:
Ceres Journal is a journal bimonthly published by Universidade Federal de Viçosa (Federal University of Viçosa - UFV). It is intended for the publication of unpublished scientific papers, with technical and scientific relevance, resulting from studies related to innovations and solutions to the problems of agriculture, with emphasis on tropical-related studies. Ceres publishes papers ni: -Plant production -Soil and plant nutrition -Plant breeding applied to agriculture -Plant Health -Physiology and morphology applied to agriculture -Vegetative and seminiferous propagation -Agricultural Engineering (specifically: Irrigation and Drainage; Soil Physics; Agrometeorology; Precision ---Agriculture; Technology and Application of Pesticides) -Animal production and health applied to agriculture