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Registro Completo |
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
18/06/1998 |
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Data da última atualização: |
31/07/2023 |
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Autoria: |
MARTEN, G. C.; HALGERSON, J. L.; CHERNEY, J. H. |
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Título: |
Quality prediction of small grain forages by near infrared reflectance spectroscopy. |
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Ano de publicação: |
1983 |
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Fonte/Imprenta: |
Crop Science, v. 23, n. 1, p. 94-96, Jan./Feb. 1983. |
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DOI: |
https://doi.org/10.2135/cropsci1983.0011183X002300010027x |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: A paucity of information exists concerning the utility of near infrared reflectance spectroscopy (NIRS) for prediction of forage quality of annual forage crops and concerning the influence of environmental and plant factors on NIRS prediction equation development and use. Our objective was to ascertain whether NIRS can be relied upon to predict the quality of small grain crop forages at diverse maturation stages. We assayed five forage quality traits in a total of 700 forages comprised of up to four field replicates of two cultivars each of oats (Arena sativa L.), barley (Hordeum vulgate L.), spring wheat (Triticum aestivum L.), and triticale (Triticum durum Desf. ✕ Secale cereale L.) each harvested at six growth stages in two locations in years. Empirical quality prediction equations were obtained by multiple linear regression of known quality values on NIR values from 48 samples obtained from one replicate from one location in 1 year. A scanning monochromator NIR spectro-computer system was used to develop the prediction equations and to validate them via tests of their applicability to the remaining 652 samples that were grown in other replicates or in other environments. From two to six wavelengths were needed to develop the best prediction equations for crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL) or in vitro digestible dry matter (IVDDM). The squared coefficients of multiple determination (R2) of the prediction equations ranged from 0.92 for IVDDM to 0.99 for CP. These calibration equations predicted the quality values for samples from other replicates, locations, and years within standard errors of ± 0.7 to 1.1% for CP, ± 1.8 to 2.3% for NDF, ± 1.0 to 1.6% for ADF, ± 0.3 to 0.4% for ADL, and ± 3.1 to 4.1% for IVDDM. We concluded that NIRS can evaluate forage quality of small grain crops to a degree of accuracy equivalent to or greater than that reported for perennial forage species, and that relative forage quality of small grain crops was adequately determined for several growth environments when prediction equations were developed from forages grown in a single environment. MenosAbstract: A paucity of information exists concerning the utility of near infrared reflectance spectroscopy (NIRS) for prediction of forage quality of annual forage crops and concerning the influence of environmental and plant factors on NIRS prediction equation development and use. Our objective was to ascertain whether NIRS can be relied upon to predict the quality of small grain crop forages at diverse maturation stages. We assayed five forage quality traits in a total of 700 forages comprised of up to four field replicates of two cultivars each of oats (Arena sativa L.), barley (Hordeum vulgate L.), spring wheat (Triticum aestivum L.), and triticale (Triticum durum Desf. ✕ Secale cereale L.) each harvested at six growth stages in two locations in years. Empirical quality prediction equations were obtained by multiple linear regression of known quality values on NIR values from 48 samples obtained from one replicate from one location in 1 year. A scanning monochromator NIR spectro-computer system was used to develop the prediction equations and to validate them via tests of their applicability to the remaining 652 samples that were grown in other replicates or in other environments. From two to six wavelengths were needed to develop the best prediction equations for crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL) or in vitro digestible dry matter (IVDDM). The squared coefficients of multiple determination (R... Mostrar Tudo |
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Palavras-Chave: |
Infra-red; NIRS; Previsao. |
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Thesaurus Nal: |
Environmental factors; Feed quality; Forage crops; Near-infrared spectroscopy. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02940naa a2200241 a 4500
001 1523917
005 2023-07-31
008 1983 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.2135/cropsci1983.0011183X002300010027x$2DOI
100 1 $aMARTEN, G. C.
245 $aQuality prediction of small grain forages by near infrared reflectance spectroscopy.$h[electronic resource]
260 $c1983
520 $aAbstract: A paucity of information exists concerning the utility of near infrared reflectance spectroscopy (NIRS) for prediction of forage quality of annual forage crops and concerning the influence of environmental and plant factors on NIRS prediction equation development and use. Our objective was to ascertain whether NIRS can be relied upon to predict the quality of small grain crop forages at diverse maturation stages. We assayed five forage quality traits in a total of 700 forages comprised of up to four field replicates of two cultivars each of oats (Arena sativa L.), barley (Hordeum vulgate L.), spring wheat (Triticum aestivum L.), and triticale (Triticum durum Desf. ✕ Secale cereale L.) each harvested at six growth stages in two locations in years. Empirical quality prediction equations were obtained by multiple linear regression of known quality values on NIR values from 48 samples obtained from one replicate from one location in 1 year. A scanning monochromator NIR spectro-computer system was used to develop the prediction equations and to validate them via tests of their applicability to the remaining 652 samples that were grown in other replicates or in other environments. From two to six wavelengths were needed to develop the best prediction equations for crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL) or in vitro digestible dry matter (IVDDM). The squared coefficients of multiple determination (R2) of the prediction equations ranged from 0.92 for IVDDM to 0.99 for CP. These calibration equations predicted the quality values for samples from other replicates, locations, and years within standard errors of ± 0.7 to 1.1% for CP, ± 1.8 to 2.3% for NDF, ± 1.0 to 1.6% for ADF, ± 0.3 to 0.4% for ADL, and ± 3.1 to 4.1% for IVDDM. We concluded that NIRS can evaluate forage quality of small grain crops to a degree of accuracy equivalent to or greater than that reported for perennial forage species, and that relative forage quality of small grain crops was adequately determined for several growth environments when prediction equations were developed from forages grown in a single environment.
650 $aEnvironmental factors
650 $aFeed quality
650 $aForage crops
650 $aNear-infrared spectroscopy
653 $aInfra-red
653 $aNIRS
653 $aPrevisao
700 1 $aHALGERSON, J. L.
700 1 $aCHERNEY, J. H.
773 $tCrop Science$gv. 23, n. 1, p. 94-96, Jan./Feb. 1983.
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Registro original: |
Embrapa Caprinos e Ovinos (CNPC) |
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