Victor Delino Barasuol Scarton, I. Carvalho, Leonardo Cesar Pradebon, Murilo Vieira Loro, Aljian Antônio Alban, M. Challiol, Natália Hinterholz Sausen, Pedro Modesto Fagundes Braga, Inaê Carolina Sfalcin
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引用次数: 0
Abstract
This study aimed to evaluate the influence of meteorological variables and geographic factors on the selection of soybean lines concerning grain yield in Brazil and Paraguay soybean-producing regions. The study was conducted in seven different environments: Bela Vista do Norte - PY, Palotina - PR, Mangueirinha - PR, Major Vieira - SC, Três Passos - RS, Toledo – PR, and Passo Fundo - RS. The randomized block design in an incomplete factorial scheme with six soybean genotypes (G1, G2, G3, G4, G5, and G6) was used for the experiments. The harvest occurred in the first half of March, and grain yield was measured through the total harvest of the plot and expressed in kg ha-1, with grain moisture at 13%. The climatic variables used in the study were maximum air temperature (Tmax, ºC), average air temperature (Tavg, ºC), minimum air temperature (Tmin, ºC), relative air humidity (RH, %), precipitation (Prec, mm), wind speed (WS, m/s), dew point (DP, °C), incident radiation (Rad_Inc, MJ/m²), and total radiation (RAD_OL, MJ/m²); and geographic factors were altitude (ALT), longitude (LON), and latitude (LAT). The G5 genotype with a genetic value for grain yield above the general average is the most adapted to favorable environments. Altitude had the greatest influence on the biological variability of the genotypes, with a negative correlation of moderate magnitude with grain yield. Grain yield was enhanced in environments with altitudes lower than 338 m at latitudes below 24.17S.
本研究旨在评估气象变量和地理因素对巴西和巴拉圭大豆产区大豆产量品系选择的影响。该研究在七种不同的环境中进行:Bela Vista do Norte-PY、Palotina-PR、Mangueirinha-PR、Major Vieira-SC、Três Passos-RS、Toledo-PR和Passo Fundo-RS。实验采用不完全析因方案中的随机区组设计,共有六种大豆基因型(G1、G2、G3、G4、G5和G6)。收获发生在3月上半月,通过该地块的总收获来衡量粮食产量,并以kg ha-1表示,粮食水分为13%。研究中使用的气候变量为最高气温(Tmax,ºC)、平均气温(Tavg,ºC;地理因素为海拔(ALT)、经度(LON)和纬度(LAT)。粮食产量遗传值高于一般平均水平的G5基因型最适合有利的环境。海拔高度对基因型的生物学变异影响最大,与粮食产量呈中等程度的负相关。在海拔低于338米、纬度低于24.17摄氏度的环境中,粮食产量提高。