Nutrient requirement equations for Indian goat by multiple regression analysis and least cost ration formulation using a linear and non‐linear stochastic model

Abstract

An elaborate multiple regression analysis was done to arrive a nutrient requirement equation for goat including dry matter intake, DMI (kg/day), total digestible nutrient, TDN (g/day) and crude protein, CP (g/day) based on animal body weight (BW) (kg) and average daily gain (ADG)(g/day). The derived equations were highly significant (p < 0.001) and had high R2 (0.99) values. The estimated values of TDN, CP and DMI are compared with NRC (1981), Kearl (Nutrient Requirements of Ruminants in Developing Countries, All Graduate Theses and Dissertations, 1982), as well as ICAR (Livestock Management, 2013). The estimated total TDN and CP requirements at different body weights and ADG are close to the values of recommended feeding standards of Mandal et al. (Small Ruminant Res., 58, 2005, 201). The estimated DMI values are close to the values of ICAR (Livestock Management, 2013) but lower (26.5%–43.8%) as compared to NRC (1981). Regressed values are used to develop a linear programming (LP) model and a stochastic model (SM) for least‐cost ration formulation for the Indian goat breed, whose average BW is about 45 kg and ADG is 130 (g/day), and which is solved using LP simplex and Generalised Reduced Gradient (GRG) nonlinear of Microsoft Excel. The models satisfy the nutrient requirement calculated by regression equations with minimum specified level of variation (usually 5%–10%) in CP and TDN. Both methods adequately meet the nutritional requirements. Therefore, an electronic sheet is developed in Excel to calculate DMI, TDN and CP for different body weights, ADG and formulate the ration by LP and stochastic model.

Efecto del consumo de leguminosas arbustivas (Acacia rigidula y Havardia pallens) sobre la morfología espermática de machos caprinos en crecimiento

“…El utilizar arbustivas como manera de alimentación es un medio económico y rico en nutrientes como PC, ME, minerales, entre otros (Patil et al, 2022). Cuando una dieta es deficiente en nutrientes generalmente se suplementa con granos y leguminosas forrajeras, como es Medicago sativa (alfalfa), de esta manera mejora el rendimiento en ovinos y caprinos, sin embargo, considerando el ingreso económico de los pequeños productores, el suplementar con granos tiende a ser costoso (Patil et al, 2022).…”

“…Para mejorar los piensos de mala calidad, una propuesta es la suplementación con arbóreas multipropósitos que son de fácil acceso (Patil et al, 2022). La formulación de dietas a base de arbustivas A. rigidula y H. pallens contienen valores del 13.4% y del 14.5% de en comparación dietas a base de M. sativa del 16.7%, aunque en este trabajo de investigación no se evaluaron indicadores de crecimiento, estas dietas cumplían con los requerimientos nutricionales para dichos animales en crecimiento.…”

Stochastic Programming Model in Least Cost Feed Formulation for Lactating Cattle

“…This method considers the average value of these analytical parameters to be disregarding variability in nutrients when producing feed formulation. The ideal feed formulation for cattle has been the subject of research in recent decades [12]. The feed formulation or the optimizing the feed at least cost concerns with adding several feeds with sufficient quantity such that it satisfies the nutrient requirement.…”