Conilon coffee outturn index: a precise alternative for estimating grain yield

IF 1.2 4区 农林科学 Q3 AGRONOMY Acta Scientiarum. Agronomy. Pub Date : 2022-03-09 DOI:10.4025/actasciagron.v44i1.54249
G. S. Fialho, A. Fonseca, M. A. Ferrão, R. G. Ferrão, Tiago Olivoto, M. Nardino, E. F. Reis, N. S. Sakiyama
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引用次数: 1

Abstract

Coffee outturn can be defined as the ratio between the harvested coffee and its respective processed grains. This character is greatly influenced by genotypic and environmental effects, and in breeding programs your analysis is costly and time-consuming. In this sense, the use of an outturn index to estimate coffee yield on experimental plots is a desirable measure aiming at reducing resources and time in postharvest evaluations. Thus, the present study aimed to evaluate the accuracy of the use of an outturn index equal to 4.0, in the estimation of Conilon coffee grains production. This index indicates that four kilograms of harvested fruit would be needed to obtain one kilogram of processed grains. Based on the average of 157 genotypes conducted in three trials and four harvests, we evaluated the relationship between harvested fruits and processed grains (FcBe), the observed (OGY), and the estimated grain yield per plant (EGY) based on FcBe equal to 4.0 (an outturn index). Descriptive statistics, adequation test for EGY, and the coincidence of occurrence of genotypes observations relating to the top 20% of all observations of OGY and EGY. In the estimation of grain yield in Conilon, the use of FcBe equal to 4.0 showed high precision in the average of the analyzed trials. However, further studies should be conducted to elucidate the effects of climate variables on the yield of Conilon coffee, especially in atypical crop years. Thus, the use of an outturn index becomes interesting in cases where the number of genotypes to be evaluated is very large and a screening of the promising ones is desirable.
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康尼隆咖啡产量指数:估算谷物产量的精确替代方法
咖啡产量可以定义为收获的咖啡与其相应的加工颗粒之间的比率。这一特性受基因型和环境影响很大,在育种计划中,你的分析是昂贵和耗时的。从这个意义上说,使用产量指数来估计试验田的咖啡产量是一种理想的措施,旨在减少收获后评估的资源和时间。因此,本研究旨在评估在估计Conilon咖啡颗粒产量时使用等于4.0的产出指数的准确性。该指数表明,需要4公斤收获的水果才能获得1公斤加工过的谷物。基于3次试验和4次收获的157个基因型的平均值,我们评估了收获果实与加工谷物(FcBe)、观察谷物(OGY)以及基于FcBe的单株估计谷物产量(EGY)之间的关系,该关系等于4.0(一个产出指数)。描述性统计,EGY的充分检验,以及与所有OGY和EGY观测值的前20%相关的基因型观测值发生的巧合。在估计Conilon地区的粮食产量时,使用FcBe = 4.0,在分析试验的平均值中显示出较高的精度。然而,需要进一步的研究来阐明气候变量对Conilon咖啡产量的影响,特别是在非典型作物年。因此,在需要评估的基因型数量非常大并且需要筛选有希望的基因型的情况下,结果指数的使用变得有趣。
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来源期刊
Acta Scientiarum. Agronomy.
Acta Scientiarum. Agronomy. Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
2.40
自引率
0.00%
发文量
45
审稿时长
>12 weeks
期刊介绍: The journal publishes original articles in all areas of Agronomy, including soil sciences, agricultural entomology, soil fertility and manuring, soil physics, physiology of cultivated plants, phytopathology, phyto-health, phytotechny, genesis, morphology and soil classification, management and conservation of soil, integrated management of plant pests, vegetal improvement, agricultural microbiology, agricultural parasitology, production and processing of seeds.
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