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首页> 美国卫生研究院文献>Journal of Animal Science >414 The potential use of vegetation index to estimate crude protein on natural grasslands of Southern Brazil.
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414 The potential use of vegetation index to estimate crude protein on natural grasslands of Southern Brazil.

机译：414潜在利用植被指数估算巴西南部天然草原上的粗蛋白。

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The aim of this study was to analyze the potential use of the Normalized Difference Vegetation Index(NDVI) to estimate the crude protein content on natural grasslands. The experiment has been performed since 1986 in the Experimental Station of the Federal University of Rio Grande do Sul, Brazil, in an area of 64 ha of natural grassland. The experiment was arranged in randomized blocks with two experimental units (EU) by treatment. The EU has been managed under forage allowances (FA): 4, 8, 12 and 16 kg of dry matter (DM) per 100 kg of the animal’s live weight (LW) per day (% LW). For defining the model accuracy, the first step was to fit a model for forage quality, using NDVI data collected in the experimental area in 2013, 2014 e 2015 (n=164) using the handheld crop sensor ‘Greenseeker’. The NDVI index was considered accurate (R = 51.16%, 2 = 49.81%, <0.0001) to estimate the forage nitrogen content. The second step was to use this model to estimate crude protein values for the experimental area based on Landsat images. The crude protein content was obtained by multiplying the percentage of nitrogen by 6.25. The EUs were demarcated based on a pixel grid of Landsat 8–OLI sensor images with 30-meter spatial resolution and the vectors of the areas corresponding to EUs were superimposed on NDVI images. NDVI was processed by using Landsat images between 2004 and 2015 (n=428) obtained from the United States Geological Survey site. The third step was the model validation, comparing the estimated values of crude protein with the values collected in the experiment in the years 2004 and 2005 (n=115). The validation model (y = -5.32 + 1.53x, R = 49.81%, <0.0001) shows that NDVI images have potential use to estimate the crude protein content in natural grasslands.
机译：这项研究的目的是分析归一化植被指数（NDVI）在估算天然草地中粗蛋白含量方面的潜在用途。自1986年以来，该实验已在巴西南里奥格兰德州联邦大学实验站的64公顷天然草地上进行。通过处理将实验分为两个实验单位（EU）随机分组。欧盟已按照饲草津贴（FA）进行管理：每天每100千克动物活重（LW）（％LW）4、8、12和16千克干物质（DM）。为了定义模型的准确性，第一步是使用手持作物传感器“ Greenseeker”，利用在2013、2014和2015年（n = 164）在实验区域收集的NDVI数据，拟合饲料质量模型。 NDVI指数被认为是准确的（R = 51.16％，2 = 49.81％，<0.0001），以估计饲料中的氮含量。第二步是使用此模型根据Landsat图像估算实验区域的粗蛋白值。通过将氮的百分比乘以6.25可获得粗蛋白含量。根据具有30米空间分辨率的Landsat 8–OLI传感器图像的像素网格对EU进行了划分，并将与EU相对应的区域矢量叠加在NDVI图像上。 NDVI是通过使用从美国地质调查局网站获得的2004年至2015年（n = 428）的Landsat图像进行处理的。第三步是模型验证，将粗蛋白的估计值与2004年和2005年在实验中收集的值进行比较（n = 115）。验证模型（y = -5.32 + 1.53x，R = 49.81％，<0.0001）显示NDVI图像可用于估算天然草地中的粗蛋白含量。

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