Accuracy of two optical chlorophyll meters in predicting chemical composition and in vitro ruminal organic matter degradability of Brachiaria hybrid, Megathyrsus maximus, and Paspalum atratum

The objective of this study was to determine the accuracy and reliability of 2 optical chlorophyll meters: FieldScout CM 1,000 NDVI and Yara N-Tester, in predicting neutral detergent fibre (NDF), acid detergent fibre (ADF), acid detergent lignin (ADL), acid detergent insoluble nitrogen (ADIN) and in...

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Main Authors: Martin P. Hughes, Victor Mlambo, Cicero H.O. Lallo, Nasreldin A.D. Basha, Ignatius V. Nsahlai, Paul G.A. Jennings
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2017-03-01
Series:Animal Nutrition
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405654516301287
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spelling doaj-33ca13833f8c4535b62094c5eefefe322021-04-02T10:48:10ZengKeAi Communications Co., Ltd.Animal Nutrition2405-65452017-03-0131677610.1016/j.aninu.2016.10.002Accuracy of two optical chlorophyll meters in predicting chemical composition and in vitro ruminal organic matter degradability of Brachiaria hybrid, Megathyrsus maximus, and Paspalum atratumMartin P. Hughes0Victor Mlambo1Cicero H.O. Lallo2Nasreldin A.D. Basha3Ignatius V. Nsahlai4Paul G.A. Jennings5Department of Food Production, Faculty of Food and Agriculture, University of the West Indies, St. Augustine, Trinidad and TobagoDepartment of Animal Science, School of Agricultural Sciences, Faculty of Agriculture, Science and Technology, North-West University, Mmabatho 2745, South AfricaOpen Tropical Forage-Animal Production Laboratory, Department of Food Production, Faculty of Food and Agriculture, University of the West Indies, St. Augustine, Trinidad and TobagoDepartment of Animal & Poultry Science, School of Agricultural, Earth and Environmental Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Scottsville, Pietermaritzburg, South AfricaDepartment of Animal Nutrition, Faculty of Animal Production, Shampat Campus, University of Khartoum, Khartoum North 1334, SudanMARJEN Consulting Group, Spanish Town JMACE25, JamaicaThe objective of this study was to determine the accuracy and reliability of 2 optical chlorophyll meters: FieldScout CM 1,000 NDVI and Yara N-Tester, in predicting neutral detergent fibre (NDF), acid detergent fibre (ADF), acid detergent lignin (ADL), acid detergent insoluble nitrogen (ADIN) and in vitro ruminal organic matter degradability (IVOMD) of 3 tropical grasses. Optical chlorophyll measurements were taken at 3 stages (4, 8 and 12 weeks) of regrowth in Brachiaria hybrid, and Megathyrsus maximus and at 6 and 12 weeks of regrowth in Paspalum atratum (cv. Ubon). Optical chlorophyll measurements showed the highest correlation (r = 0.57 to 0.85) with NDF concentration. The FieldScout CM 1,000 NDVI was better than the Yara N-Tester in predicting NDF (R2 = 0.70) and ADF (R2 = 0.79) concentrations in Brachiaria hybrid and NDF (R2 = 0.79) in M. maximus. Similarly, FieldScout CM 1,000 NDVI produced better estimates of 24 h IVOMD (IVOMD24h) in Brachiaria hybrid (R2 = 0.81) and IVOMD48h in Brachiaria hybrid (R2 = 0.65) and M. maximus (R2 = 0.75). However, these prediction models had relatively low concordance correlation coefficients, i.e., CCC >0.90, but random errors were the main source of bias. It was, therefore, concluded that both optical chlorophyll meters were poor and unreliable predictors of ADIN and ADL concentrations. Overall, the FieldScout CM 1,000 NDVI shows potential to produce useful estimates of IVOMD24h and ADF in Brachiaria hybrid and IVOMD48h and NDF concentrations in M. maximus.http://www.sciencedirect.com/science/article/pii/S2405654516301287Optical chlorophyll measurementsChemical compositionPrediction modelTropical grass
collection DOAJ
language English
format Article
sources DOAJ
author Martin P. Hughes
Victor Mlambo
Cicero H.O. Lallo
Nasreldin A.D. Basha
Ignatius V. Nsahlai
Paul G.A. Jennings
spellingShingle Martin P. Hughes
Victor Mlambo
Cicero H.O. Lallo
Nasreldin A.D. Basha
Ignatius V. Nsahlai
Paul G.A. Jennings
Accuracy of two optical chlorophyll meters in predicting chemical composition and in vitro ruminal organic matter degradability of Brachiaria hybrid, Megathyrsus maximus, and Paspalum atratum
Animal Nutrition
Optical chlorophyll measurements
Chemical composition
Prediction model
Tropical grass
author_facet Martin P. Hughes
Victor Mlambo
Cicero H.O. Lallo
Nasreldin A.D. Basha
Ignatius V. Nsahlai
Paul G.A. Jennings
author_sort Martin P. Hughes
title Accuracy of two optical chlorophyll meters in predicting chemical composition and in vitro ruminal organic matter degradability of Brachiaria hybrid, Megathyrsus maximus, and Paspalum atratum
title_short Accuracy of two optical chlorophyll meters in predicting chemical composition and in vitro ruminal organic matter degradability of Brachiaria hybrid, Megathyrsus maximus, and Paspalum atratum
title_full Accuracy of two optical chlorophyll meters in predicting chemical composition and in vitro ruminal organic matter degradability of Brachiaria hybrid, Megathyrsus maximus, and Paspalum atratum
title_fullStr Accuracy of two optical chlorophyll meters in predicting chemical composition and in vitro ruminal organic matter degradability of Brachiaria hybrid, Megathyrsus maximus, and Paspalum atratum
title_full_unstemmed Accuracy of two optical chlorophyll meters in predicting chemical composition and in vitro ruminal organic matter degradability of Brachiaria hybrid, Megathyrsus maximus, and Paspalum atratum
title_sort accuracy of two optical chlorophyll meters in predicting chemical composition and in vitro ruminal organic matter degradability of brachiaria hybrid, megathyrsus maximus, and paspalum atratum
publisher KeAi Communications Co., Ltd.
series Animal Nutrition
issn 2405-6545
publishDate 2017-03-01
description The objective of this study was to determine the accuracy and reliability of 2 optical chlorophyll meters: FieldScout CM 1,000 NDVI and Yara N-Tester, in predicting neutral detergent fibre (NDF), acid detergent fibre (ADF), acid detergent lignin (ADL), acid detergent insoluble nitrogen (ADIN) and in vitro ruminal organic matter degradability (IVOMD) of 3 tropical grasses. Optical chlorophyll measurements were taken at 3 stages (4, 8 and 12 weeks) of regrowth in Brachiaria hybrid, and Megathyrsus maximus and at 6 and 12 weeks of regrowth in Paspalum atratum (cv. Ubon). Optical chlorophyll measurements showed the highest correlation (r = 0.57 to 0.85) with NDF concentration. The FieldScout CM 1,000 NDVI was better than the Yara N-Tester in predicting NDF (R2 = 0.70) and ADF (R2 = 0.79) concentrations in Brachiaria hybrid and NDF (R2 = 0.79) in M. maximus. Similarly, FieldScout CM 1,000 NDVI produced better estimates of 24 h IVOMD (IVOMD24h) in Brachiaria hybrid (R2 = 0.81) and IVOMD48h in Brachiaria hybrid (R2 = 0.65) and M. maximus (R2 = 0.75). However, these prediction models had relatively low concordance correlation coefficients, i.e., CCC >0.90, but random errors were the main source of bias. It was, therefore, concluded that both optical chlorophyll meters were poor and unreliable predictors of ADIN and ADL concentrations. Overall, the FieldScout CM 1,000 NDVI shows potential to produce useful estimates of IVOMD24h and ADF in Brachiaria hybrid and IVOMD48h and NDF concentrations in M. maximus.
topic Optical chlorophyll measurements
Chemical composition
Prediction model
Tropical grass
url http://www.sciencedirect.com/science/article/pii/S2405654516301287
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