The Revista Brasileira de Zootecnia (RBZ) is a publication dedicated to the broad field of Animal Science. We publish high-quality, original scientific research that spans across diverse areas within the discipline. The scope of RBZ encompasses a wide range of topics, including aquaculture, biometeorology and animal welfare, forage crops and grasslands, animal and forage plants breeding and genetics, animal reproduction, ruminant and non-ruminant nutrition, meat science and muscle biology, precision livestock, and animal production systems and agribusiness.
The Revista Brasileira de Zootecnia (RBZ) is a publication dedicated to the broad field of Animal Science. We publish high-quality, original scientific research that spans across diverse areas within the discipline. The scope of RBZ encompasses a wide range of topics, including aquaculture, biometeorology and animal welfare, forage crops and grasslands, animal and forage plants breeding and genetics, animal reproduction, ruminant and non-ruminant nutrition, meat science and muscle biology, precision livestock, and animal production systems and agribusiness.
The Revista Brasileira de Zootecnia (RBZ) is a publication dedicated to the broad field of Animal Science. We publish high-quality, original scientific research that spans across diverse areas within the discipline. The scope of RBZ encompasses a wide range of topics, including aquaculture, biometeorology and animal welfare, forage crops and grasslands, animal and forage plants breeding and genetics, animal reproduction, ruminant and non-ruminant nutrition, meat science and muscle biology, precision livestock, and animal production systems and agribusiness.
01/Mar/2008
Mário Cupertino da Silva Júnior, Francisco de Assis de Carvalho Pinto, Dilermando Miranda da Fonseca, Daniel Marçal de Queiroz, Bruno Ferreira Maciel
DOI: 10.1590/S1516-35982008000300005
The objective of the present work was the detection of different nutritional statuses in Brachiaria decumbens pasture using remote sensing techniques. The area was treated with five rates of nitrogen fertilizer (0, 50, 100, 150 and, 200 kg ha-1) with six repetitions and evaluated in a completely randomized statistical design. A remote sensing system composed of digital cameras, cables, a framegrabber and a computer was used with a three meter metallic support to position the cameras. The system acquired images […]
Keywords: digital images; nitrogen; vegetation indices