Prediction of crude protein content in field peas using near infrared reflectance spectroscopy

Arganosa, Gene; Warkentin, Thomas D.; Racz, V. J.; Blade, S. F.; Phillips, Cassandra; Hsu, Hey-Chi

doi:10.4141/p04-195

Cited by 25 publications

(28 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is an R 2 -type term from the cross validation set that explains how much of the constituents' variance is explained by the calibration equation (Arganosa et al, 2006). If 1 − VR is positive, the NIRS predictions obtained during cross validation are better than using the average analyzed value to predict those same samples.…”

Section: Resultsmentioning

confidence: 99%

Evaluation of near-infrared reflectance spectroscopy (NIRS) techniques for total and phytate phosphorus of common poultry feed ingredients

et al. 2012

View full text Add to dashboard Cite

The purpose of this study was to determine the feasibility of estimating the total and phytate P content of common poultry feed ingredients by near-infrared reflectance spectroscopy (NIRS). Samples of 8 plant-origin feedstuffs were collected from poultry producers in the USA and Canada during the summer of 2009: corn (133), soybean meal (114), corn distillers dried grains with solubles (DDGS; 89), bakery by-product meal (95), wheat (22), wheat middlings (31), canola meal (21), and wheat shorts (15). The samples were assayed by standard wet chemical techniques for total and phytate P contents. There was considerable variation found in most of the ingredient components. The average values for the laboratory determinations versus NIRS predictions were all within 0.030 for total phosphorus and 0.012 for phytate P. For phytate P, the magnitude of the standard errors of the predictions ranged from 0.009% for soybean meal to 0.012% for canola meal. These values may be sufficiently precise for nutritionists to use the NIRS predictions to estimate how much of the P in their ingredients is not available to the birds. For total P, the magnitude of the standard errors of the predictions ranged from 0.027% for corn DDGS to 0.142% for wheat middlings. In general, total P predictions by NIRS were not generally sufficiently precise for most nutritionists to use in feed formulation. Decision making may be quite easy in using NIRS estimates for the phytate P content of bakery by-product meal [R(2) = 0.89 for predicted = f (determined)] but not for the total P content of soybean meal (R(2) = 0.03). It is concluded that precise estimates of phytate P through NIRS should allow nutritionists for more efficient formulate and mix feed, lowering feed costs and reducing the amount of residual polluting phosphorus in poultry excreta.

show abstract

Section: Resultsmentioning

confidence: 99%

Evaluation of near-infrared reflectance spectroscopy (NIRS) techniques for total and phytate phosphorus of common poultry feed ingredients

et al. 2012

View full text Add to dashboard Cite

show abstract

“…Two technical repeats were used for each biological replicate. Total starch and crude protein concentration were estimated by near infra-red spectrophotometer using a Grainspec Whole Grain Analyzer (FOSS NIRSystem 6500, Foss Tecator, Sweden) (Arganosa et al 2006;Jha et al 2013) (Table 2) associated with carbohydrate metabolism and seed storage protein deposition (Aubert et al 2006) were used to amplify DNA fragments. For amplifications, 25 ll PCR reaction mixture contained 20 ng of genomic DNA, 2.0 mM MgCl 2 , 0.2 mM of each dNTP (Invitrogen, Burlington, Ontario, Canada), 0.2 lM of each primer (Sigma, Sigma-Aldrich Co., St.…”

Section: Plant Materialsmentioning

confidence: 99%

SNP variation within genes associated with amylose, total starch and crude protein concentration in field pea

et al. 2015

View full text Add to dashboard Cite

To accelerate development of pea cultivars with improved nutritional profiles, information about allelic variations within genes for major seed composition in diverse pea accessions is required. The objective of this study was to identify single nucleotide polymorphisms (SNPs) within genes associated with amylose, total starch and crude protein concentration in seeds. Fifty diverse Pisum sativum accessions collected from eastern Europe, western Europe, Australia, and Canada were used to determine amylose, total starch and crude protein concentration. Thirteen published genes associated with carbohydrate metabolism and seed storage protein deposition were amplified from these accessions. One hundred thirty two SNPs were detected within these genes. Out of 118 SNPs associated with carbohydrate metabolism, four and ten SNPs were significantly (P \ 0.05) associated with amylose in either 2008 or 2009, and total starch concentration in the majority of station years, except Spsp141 which was significant in four of eight station years, respectively. One SNP was significantly associated with crude protein concentration in five of eight station years. Identified SNPs have the potential for use in marker assisted selection in pea breeding.

show abstract

“…The major pea seed constituents such as protein, fibre and starch content have the potential to be very interesting ingredients for a variety of food and non-food products, and the three seed quality traits showed significant differences among accessions. The protein content is a valuable character for the use of dry pea in animal feeding (Froidmont and Bartiaux-Thill 2004;Soto-Navarro et al 2004;Arganosa et al 2006). The three breeding lines, namely MB-0307, MB-0308 and MB-0319 had no differences for this trait but all of them displayed higher protein content than the cultivar ZP-1233.…”

Section: Discussionmentioning

confidence: 99%

Sources of variation for sustainable field pea breeding

Rodiño

Hernández-Nistal

Hermida³

et al. 2008

Euphytica

View full text Add to dashboard Cite

The pea crop (Pisum sativum L.) is a convenient source of plant protein for animal feeding. The objective of this research was to evaluate field pea breeding lines for agronomic performance and seed quality focussed to their use in a sustainable production. Thirty-five field pea breeding lines and six elite cultivars were evaluated for their agronomic value in field in Spain upon 20 traits related to flower, cycle, plant architecture, productivity and seed quality. The lines showed significant differences in all the quantitative traits evaluated and three of them, namely MB-0307, MB-0308, and MB-0319 were chosen to be evaluated, together with the advanced cultivar ZP-1233, in field and in growing chamber for agronomic performance, seed quality and ability for sustainable production. The four accessions displayed high seed protein content that had significant effect of cropping density with averages of 253.6 g kg -1 under low cropping density of 60 plants m -2 and 259.1 g kg -1 under high cropping density of 90 plants m -2 , therefore, the low cropping density should be regarded as the most convenient. Average yield of the lines MB-0307, MB-0308 and MB-0319 and the cultivar ZP-1233 was fair (197.5 g m -2 ), probably due to the absence of fertilizers and irrigation, aiming for the sustainability of the crop. Intercropping with rye and herbicide application resulted in no differences on the seed yield; therefore, the ability of the breeding lines to grow without herbicide seems to be demonstrated, while the germination of the seeds at low temperature was very good. These results indicate that field pea could be a new protein crop in the North of Spain to satisfy the demand of plant protein for animal feed, based upon adapted breeding lines that combine the ability for growing under sustainable conditions with other desirable agronomic traits maintaining an adequate productivity.

show abstract

Prediction of crude protein content in field peas using near infrared reflectance spectroscopy

Cited by 25 publications

References 3 publications

Evaluation of near-infrared reflectance spectroscopy (NIRS) techniques for total and phytate phosphorus of common poultry feed ingredients

Evaluation of near-infrared reflectance spectroscopy (NIRS) techniques for total and phytate phosphorus of common poultry feed ingredients

SNP variation within genes associated with amylose, total starch and crude protein concentration in field pea

Sources of variation for sustainable field pea breeding

Contact Info

Product

Resources

About