Development of calibration equations for monitoring the quality of sorghum forage

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F23%3A43923714" target="_blank" >RIV/62156489:43210/23:43923714 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Development of calibration equations for monitoring the quality of sorghum forage

Original language description

Sorghum is now a globally important cereal crop, with more than 40 million hectares harvested for grain production in 2021, including 285 thousand hectares in Europe (FAOSTAT 2023). However, in addition, it is also grown as a forage crop for biomass production with feed use in ruminants /milking cows/ (Cattani et al. 2017). Sorghum for forage production is grown as an annual crop with many outstanding characteristics, including high biomass production (Marsalis et al. 2010), high forage quality /ADF, NDF, OMD, etc./ (Mirahki et al. 2023), high drought tolerance (Smith and Frederiksen 2000, OECD 2017) and high nitrogen use efficiency (Rosati et al. 2019). The aforementioned prerequisites make it an ideal crop for use in environments with lower soil fertility or areas with recurrent drought (Fardin et al. 2023). The aim of breeders and farmers is to produce high quality forage sorghum for mixed livestock rations (TMR). The content of crude protein (CP), neutral detergent fibre (NDF), acid detergent fibre (ADF) and water-soluble carbohydrates etc., are among the most important forage quality parameters, that determine the intake and digestibility of forage in cattle (Fahey 1994). Determination of basic forage quality parameters by standard laboratory analysis is very laborious, costly and takes an average of 10 days depending on the number of parameters determined (Nerusil et al. 2018). Near-infrared spectroscopy (NIRS) is an efficient analytical technique (Manley 2014) used in a number of research and testing laboratories in the field of quality control of plant and animal products (Muselik 2012). Unlike most laboratory methods, NIRS analysis requires no chemicals, solvents or reagents, does not pollute the natural environment and is considered an environmentally friendly method (Yang et al. 2017). Currently, there is little information in the literature on the use of NIRS calibration models to predict sorghum forage quality and determine its most important parameters (crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), organic matter digestibility (OMD), etc.). The objective of this study is to present the development of calibration equations to predict forage quality parameters (CP, fiber, fat, NDF, ADF, OMD) in dryland green biomass samples using NIRS technique in a one-cutting of grain sorghum (Sorghum bicolor L.).

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

40101 - Agriculture

Project

<a href="/en/project/QK22010251" target="_blank" >QK22010251: Innovation of sorghum management practice for use in ruminant nutrition as an adaptation measure leading to stabilization of forage feed production in the conditions of the changing climate of the Czech Republic</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

19th International Symposium Forage Conservation

ISBN

978-80-7509-919-8

ISSN

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e-ISSN

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Number of pages

2

Pages from-to

88-89

Publisher name

Mendelova univerzita v Brně

Place of publication

Brno

Event location

Brno

Event date

Apr 25, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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