Effect of Growing Year and Application of a Multi-Year Calibration for Predicting Quality Parameters by Near Infrared Reflectance Spectroscopy in Whole-Plant Corn Forage

Valdes, Eduardo V.; Jones, Gerald E.; Hoekstra, G. J.

doi:10.4141/cjps90-092

Cited by 12 publications

(9 citation statements)

References 15 publications

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“…The values for the multiple correlation coeffcients and the standard error of calibration (SEC) were in general satisfactory and comparable with those reported by other workers using NIRS in maize forage to determine: in vitro digestible organic matter (Melchinger et al, 1986;Deinum and Struik, 1989;Zimmer et al, 1990), in vitro dry matter digestibility (Valdes et al, 1990) and NDF (Deinum and Struik, 1989;Zimmer et al, 1990).…”

Section: Nirs Analysissupporting

confidence: 85%

“…In this study the calibration equation for NDF content used the reflectance at wavelengths 1759,1778,1982,2100,2230,2270 and 2336 nm, and the primary wavelengths selected were 1778 and 1759 and 2336 nm (Table 2). These two wavelengths have been selected previously for the prediction of acid detergent fibre, crude protein and IVDMD in whole-plant maize forage (Valdes et al, 1990). It is also important to try to assign a chemical meaning to the wavelengths selected by NIRS.…”

Section: Nirs Analysismentioning

confidence: 99%

“…Some of the wavelengths have been previously selected in the prediction of IVDMD in whole-plant maize forage by the Tilley and Terry method (Valdes et al, 1987b) and by the pepsin-cellulase technique (Valdes et al, 1990). Clark and Lamb (1991) observed the frequency distribution of wavelength selection in studies on legumes, grasses and mixtures to measure digestibility (in vitro or in vivo) and the predominant wavelengths were 1600-1900 nm and 2200-2300 nm.…”

Section: Nirs Analysismentioning

confidence: 99%

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A note on prediction of maize stover quality by near-infrared reflectance spectroscopy (NIRS) technique

Albanell

Plaixats²,

Más³

1997

J. Anim. Feed Sci.

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Near-infrared reflectance spectroscopy (NIRS) technique was investigated as a means of predicting quality parameters in semi-exotic maize stover. These parameters included neutral detergent fibre (NDF) and in vitro dry matter (DM) digestibility. Samples of semi-exotic maize stover were formed by crossing the exotic material Across 8443 La Posta with inbred Mo 17.An InfraAlyzer 450 (Bran + Luebbe) was used for the study. Calibration equations were obtained by multiple linear regression from 162 samples and verified with 18 additional samples. The coeffcients of multiple correlation obtained were 0.92 for NDF and 0.93 for DM digestibility and the standard errors of calibration were 1.30 and 2.56, respectively. The study showed sufficient accuracy in the prediction of NDF and digestible DM content in semi-exotic maize stover for use in the plant breeding programme.

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Section: Nirs Analysissupporting

confidence: 85%

Section: Nirs Analysismentioning

confidence: 99%

Section: Nirs Analysismentioning

confidence: 99%

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A note on prediction of maize stover quality by near-infrared reflectance spectroscopy (NIRS) technique

Albanell

Plaixats²,

Más³

1997

J. Anim. Feed Sci.

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“…8,9 From a ruminant nutrition perspective the application of NIRS has offered a rapid and low-cost analysis of the nutrient composition of forages. 10 The principle of NIRS is that light of wavelength 1100±2500 nm, re¯ected off powdered solids, contains compositional information which can be unravelled by a computer to report multiple analyses in under 1 min. 7 NIRS spectra provide an integrated solution to quality testing.…”

Section: Introductionmentioning

confidence: 99%

The use of near‐infrared reflectance spectroscopy (NIRS) to predict the composition of whole maize plants

Cozzolino

Fassio

Giménez

2001

J. Sci. Food Agric.

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Near-infrared re¯ectance spectroscopy (NIRS) was used to predict the chemical composition of whole maize plants (Zea mays L) in breeding programmes at INIA La Estanzuela, Uruguay. Four hundred samples (n = 400) were scanned from 400 to 2500 nm in an NIRS 6500 monochromator (NIRSystems, Silver Spring, MD, USA). Modi®ed partial least squares (MPLS) regression was applied to scatter-corrected spectra (SNV and detrend). Calibration models for NIRS measurements gave multivariate correlation coef®cients of determination (R 2 ) and standard errors of cross-validation (SECV) of 0.72 (SECV 9.5), 0.96 (SECV 7.7), 0.98 (SECV 16.5), 0.96 (SECV 34.3), 0.98 (SECV 17.8) and 0.98 (SECV 6.1) for dry matter (DM), crude protein (CP), acid detergent ®bre (ADF), neutral detergent ®bre (NDF), in vitro organic matter digestibility (IVOMD) and ash in g kg À1 on a dry weight basis respectively. This paper shows the potential of NIRS to predict the chemical composition of whole maize plants as a routine method in breeding programmes and for farmer advice.

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“…These are known as the reference samples and their accurate determination is essential for successful development of calibrations and application of NIRS (Valdes et al, 1990). Furthermore calibration sets need to contain an adequate range of the property of interest and represent all the important sources of variability that may be present in the population of samples to be measured.…”

Section: Introductionmentioning

confidence: 99%

Options for improving the yield and nutritive value of maize and grain legume residues for ruminants in East African farming systems

Dejene¹

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The role and importance of livestock in smallholder crop-livestock systems and the importance of crop residues (CR) as ruminant feedstuffs in such systems are well established. The effects of genotype (G), environment (E) and crop management (M) factors on yields of grain and CR and the nutritive value of the CR of maize (Zea mays) and common bean (Phaseolus vulgaris) were investigated in an East African context. Genotype effects were examined in early and medium maturing (EM and MM, respectively) maize hybrids and popular varieties of common bean. Environment was examined at three sites for maize in the 2013 and 2014 cropping seasons and at four sites for common bean in 2013. Management effects examined were plant density (D) (5 and 7 plants/m 2 ), height of cutting at harvest in maize, and harvest at early and final seed maturity in common bean. Quality attributes (nitrogen (N), neutral detergent fibre (NDF) and acid detergent fibre (ADF) contents and dry matter digestibility (DMD)) were analysed using near infrared spectroscopy (NIRS) and calibrations expanded and validated with reference samples of CR representing the experimental sample set.There was substantial variation (P<0.05 to P<0.0001) among maize genotypes in yields of grain and stover and quality of stover as a feedstuff. Dual purpose genotypes were identified but G x E interactions for some yield and quality attributes showed that the variation among genotypes can depend on environment. In general the higher D increased yields of grain by 9-15% and stover by 21-31%, but had only minor effects on stover quality attributes. Year (Y) x density (D), G x E and G x D interactions were observed for some of the yield and stover attributes.High cutting height of maize (two internodes below the lowest ear) allowed harvest of most of the stover (on average 63-72% in EM and MM genotypes, respectively) as feedstuff while leaving stubble in the field available for other uses. This is established practice by farmers in some regions. The amount and quality as a feedstuff of the upper and lower stover components varied (P<0.01) among genotypes. N and DMD were 0.05-0.09% and 1.7-3.6%, respectively higher (P<0.0001) in the upper fraction of the stover than in whole stover. Thus evaluation and estimation of the amount and quality of maize stover available as a feedstuff should consider harvest at high cutting height to increase quality. G x E interactions were observed in yield and in some stover attributes in the upper and lower fractions, but these were not consistent.ii Common bean varieties varied (P<0.05 to P<0.0001) in yields of seed and haulm and in the nutritive value of haulm fractions (leaf, stem and pod wall) when harvested at seed maturity. There was extensive leaf loss at seed maturity which decreased haulm quality.Seed and haulm yields were correlated (r=0.87). Seed yield was generally not related to haulm quality as N% or DMD%. The variation in yield and haulm feedstuff quality was also examined in common bean varieties harvested at early se...

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Effect of Growing Year and Application of a Multi-Year Calibration for Predicting Quality Parameters by Near Infrared Reflectance Spectroscopy in Whole-Plant Corn Forage

Cited by 12 publications

References 15 publications

A note on prediction of maize stover quality by near-infrared reflectance spectroscopy (NIRS) technique

A note on prediction of maize stover quality by near-infrared reflectance spectroscopy (NIRS) technique

The use of near‐infrared reflectance spectroscopy (NIRS) to predict the composition of whole maize plants

Options for improving the yield and nutritive value of maize and grain legume residues for ruminants in East African farming systems

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