Variation in the U.S. photoperiod insensitive sorghum collection for chemical and nutritional traits

Tisha Hooks, J. F. Pedersen, D. B. Marx, K. P. Vogel

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Screening germplasm for chemical and nutritional content can be expensive and time consuming. Near infrared spectroscopy (NIRS) and application of geostatistical models can make screening more efficient. The objectives of this study were to utilize these technologies to: (i) generate chemical and nutritional values for the U.S. photoperiod insensitive sorghum collection, (ii) describe variability for those traits, (iii) identify accessions in the highest and lowest 1% for each trait, and (iv) describe relationships among the accessions. Accessions were grown at Ithaca, NE, during 2001 and 2002. Samples of grain were scanned and NIRS equations developed for starch, fat, crude protein, acid detergent fiber, and phosphorus. The NIRS generated values for each accession can be accessed on GRIN at http:// www.ars-grin.gov/cgi-bin/npgs/ html/desclist.pl?69; verified 22 November 2005. The highest and lowest 1% of accessions was identified for each trait by best linear unbiased predictors (BLUPs). Means and standard deviations for observed values and variances due to accessions were calculated. Rank correlations between BLUPs and observed values ranged from r = 0.82 to r = 0.92. Principal component analysis showed that much of the variation is attributable to a contrast of starch with a weighted average of fat, crude protein, acid detergent fiber, and phosphorus. Cluster analyses showed clusters on the basis of canonical values, but no geographical, taxonomical, or morphological interpretation of the clusters was apparent.

Original languageEnglish (US)
Pages (from-to)751-757
Number of pages7
JournalCrop Science
Volume46
Issue number2
DOIs
StatePublished - Mar 1 2006

Fingerprint

near-infrared spectroscopy
photoperiod
acid detergent fiber
crude protein
germplasm screening
starch
phosphorus
lipids
principal component analysis
nutritive value
screening
sampling

ASJC Scopus subject areas

  • Agronomy and Crop Science

Cite this

Variation in the U.S. photoperiod insensitive sorghum collection for chemical and nutritional traits. / Hooks, Tisha; Pedersen, J. F.; Marx, D. B.; Vogel, K. P.

In: Crop Science, Vol. 46, No. 2, 01.03.2006, p. 751-757.

Research output: Contribution to journalArticle

Hooks, Tisha ; Pedersen, J. F. ; Marx, D. B. ; Vogel, K. P. / Variation in the U.S. photoperiod insensitive sorghum collection for chemical and nutritional traits. In: Crop Science. 2006 ; Vol. 46, No. 2. pp. 751-757.
@article{1f8af715c4bb42cc813ef5e8073aefe7,
title = "Variation in the U.S. photoperiod insensitive sorghum collection for chemical and nutritional traits",
abstract = "Screening germplasm for chemical and nutritional content can be expensive and time consuming. Near infrared spectroscopy (NIRS) and application of geostatistical models can make screening more efficient. The objectives of this study were to utilize these technologies to: (i) generate chemical and nutritional values for the U.S. photoperiod insensitive sorghum collection, (ii) describe variability for those traits, (iii) identify accessions in the highest and lowest 1{\%} for each trait, and (iv) describe relationships among the accessions. Accessions were grown at Ithaca, NE, during 2001 and 2002. Samples of grain were scanned and NIRS equations developed for starch, fat, crude protein, acid detergent fiber, and phosphorus. The NIRS generated values for each accession can be accessed on GRIN at http:// www.ars-grin.gov/cgi-bin/npgs/ html/desclist.pl?69; verified 22 November 2005. The highest and lowest 1{\%} of accessions was identified for each trait by best linear unbiased predictors (BLUPs). Means and standard deviations for observed values and variances due to accessions were calculated. Rank correlations between BLUPs and observed values ranged from r = 0.82 to r = 0.92. Principal component analysis showed that much of the variation is attributable to a contrast of starch with a weighted average of fat, crude protein, acid detergent fiber, and phosphorus. Cluster analyses showed clusters on the basis of canonical values, but no geographical, taxonomical, or morphological interpretation of the clusters was apparent.",
author = "Tisha Hooks and Pedersen, {J. F.} and Marx, {D. B.} and Vogel, {K. P.}",
year = "2006",
month = "3",
day = "1",
doi = "10.2135/cropsci2005.05-0047",
language = "English (US)",
volume = "46",
pages = "751--757",
journal = "Crop Science",
issn = "0011-183X",
publisher = "Crop Science Society of America",
number = "2",

}

TY - JOUR

T1 - Variation in the U.S. photoperiod insensitive sorghum collection for chemical and nutritional traits

AU - Hooks, Tisha

AU - Pedersen, J. F.

AU - Marx, D. B.

AU - Vogel, K. P.

PY - 2006/3/1

Y1 - 2006/3/1

N2 - Screening germplasm for chemical and nutritional content can be expensive and time consuming. Near infrared spectroscopy (NIRS) and application of geostatistical models can make screening more efficient. The objectives of this study were to utilize these technologies to: (i) generate chemical and nutritional values for the U.S. photoperiod insensitive sorghum collection, (ii) describe variability for those traits, (iii) identify accessions in the highest and lowest 1% for each trait, and (iv) describe relationships among the accessions. Accessions were grown at Ithaca, NE, during 2001 and 2002. Samples of grain were scanned and NIRS equations developed for starch, fat, crude protein, acid detergent fiber, and phosphorus. The NIRS generated values for each accession can be accessed on GRIN at http:// www.ars-grin.gov/cgi-bin/npgs/ html/desclist.pl?69; verified 22 November 2005. The highest and lowest 1% of accessions was identified for each trait by best linear unbiased predictors (BLUPs). Means and standard deviations for observed values and variances due to accessions were calculated. Rank correlations between BLUPs and observed values ranged from r = 0.82 to r = 0.92. Principal component analysis showed that much of the variation is attributable to a contrast of starch with a weighted average of fat, crude protein, acid detergent fiber, and phosphorus. Cluster analyses showed clusters on the basis of canonical values, but no geographical, taxonomical, or morphological interpretation of the clusters was apparent.

AB - Screening germplasm for chemical and nutritional content can be expensive and time consuming. Near infrared spectroscopy (NIRS) and application of geostatistical models can make screening more efficient. The objectives of this study were to utilize these technologies to: (i) generate chemical and nutritional values for the U.S. photoperiod insensitive sorghum collection, (ii) describe variability for those traits, (iii) identify accessions in the highest and lowest 1% for each trait, and (iv) describe relationships among the accessions. Accessions were grown at Ithaca, NE, during 2001 and 2002. Samples of grain were scanned and NIRS equations developed for starch, fat, crude protein, acid detergent fiber, and phosphorus. The NIRS generated values for each accession can be accessed on GRIN at http:// www.ars-grin.gov/cgi-bin/npgs/ html/desclist.pl?69; verified 22 November 2005. The highest and lowest 1% of accessions was identified for each trait by best linear unbiased predictors (BLUPs). Means and standard deviations for observed values and variances due to accessions were calculated. Rank correlations between BLUPs and observed values ranged from r = 0.82 to r = 0.92. Principal component analysis showed that much of the variation is attributable to a contrast of starch with a weighted average of fat, crude protein, acid detergent fiber, and phosphorus. Cluster analyses showed clusters on the basis of canonical values, but no geographical, taxonomical, or morphological interpretation of the clusters was apparent.

UR - http://www.scopus.com/inward/record.url?scp=33644981206&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33644981206&partnerID=8YFLogxK

U2 - 10.2135/cropsci2005.05-0047

DO - 10.2135/cropsci2005.05-0047

M3 - Article

AN - SCOPUS:33644981206

VL - 46

SP - 751

EP - 757

JO - Crop Science

JF - Crop Science

SN - 0011-183X

IS - 2

ER -