Seasonal and Fertility‐Related Changes in Cottonseed Protein Quantity and Quality<sup>1</sup>

Leffler, H. R.; Elmore, C. Dennis; Hesketh, J. D.

doi:10.2135/cropsci1977.0011183x001700060034x

Cited by 17 publications

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“…Association among oil, protein and fatty acid contents among genotypes examined through correlation and principal component analysis ( Figure 1 and Table 3). This study also detected significant negative correlation between oil and protein content in cottonseed, as Turner et al (1976b); Leffler et al (1977); Hanny et al (1978); Shaver and Dilday (1982) reported. Most of the observed correlations appeared to have some foundation within fatty acid biosynthesis pathways.…”

Section: Principal Component Analysis and Correlation For Determining Gsupporting

confidence: 79%

Screening of Cotton Genotypes for Protein Content, Oil and Fatty Acid Composition

Bolek¹,

Tekerek²,

Hayat³

et al. 2016

JAS

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The increase in the population at the global level necessitates to explore promising approaches to increase food supply, including protein and oil, to meet the needs of the people. Cotton is one of the most important oil producing crops and cottonseed meal provides important protein nutrients as animal feed. However, information on the genetic basis of cottonseed oil and protein contents is lacking. In this study; protein contents, oil and fatty acid composition of 124 cotton genotypes were observed for developing new cultivars. Accelerated Solvent Extraction method used for determining fat ratio; Gas Chromatography employed for fatty acid analysis while protein contents were analyzed by Kjeldahl method. Average crude oil 31.0%, total fat contents varied from 23.11 to 37.70% while mean protein content 38.0% were observed among genotypes. The dominating fatty acids included linoleic acid, palmitic acid and oleic acid (46.91, 25.73 and 20.21%) respectively, while linolenic acid (0.13%), γ-linolenic (0.33%), palmitoleic acid (0.64%), myristic acid (0.88%), nervonic acid (1%) and stearic acid (2.38%) had variations in fatty acid contents. Frequency distribution of the parameters showed a normal distribution and differences among genotypes for the traits studied were statistically highly significant. Prinicipal component analysis showed a complex opposite relationship with a total protein and oil contents. Genotypes; Fantom for protein, Cirpan 60 for total crude oil, Stoneville 468 and YB195 for higher amount of fatty acids especially oleic acid; can be used for improvement of cottonseed quality in breeding programs.

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Section: Principal Component Analysis and Correlation For Determining Gsupporting

confidence: 79%

Screening of Cotton Genotypes for Protein Content, Oil and Fatty Acid Composition

Bolek¹,

Tekerek²,

Hayat³

et al. 2016

JAS

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“…However, the results reported to date do suggest that seed protein concentration increases with increased N fertilization (Ham et al, 1975, soybean;Leffler et al, 1977, cotton). The report by Wanjura and Sunderman (1976) that cottonseed protein was not affected by increased N fertility may be an example of the increased complexity arising from the indeterminate nature of the cotton plant as described by Leffler et al (1977) even though Wanjura and Sunderman were using a "dwarf determinate" plant type. Cotton is actually an indeterminate plant.…”

mentioning

confidence: 99%

“…The free amino acid fraction is quite small in cotton (much less than I% of the total). Even if it were influenced by fertilization, its overall affect would be small (Elmore and Leffler, 1976;Leffler et al, 1977). The metabolic proteins of seeds consist of the enzymes and other proteins found in other tissues of the plant.…”

mentioning

confidence: 99%

“…Cotton is an indeterminate, perennial plant that sets fruit throughout the growing season. As shown by Leffler et al (1977), the seed produced from early blooms are usually larger and contain relatively more protein than seed produced later on the same plant. This effect may be confounded by applying the N later in the season, although one report suggests that it does not (Leffler et al, 1977).…”

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Nitrogen Fertilization Increases N and Alters Amino Acid Concentration of Cottonseed¹

Elmore¹,

Spurgeon²,

Thom³

1979

Agronomy Journal

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Utilization of seed proteins from cotton (Gossypium hirsutum L.) as an ingredient of food products for nonruminant animals may provide producers with a salable seed commodity in addition to oil and meal. It was important to confirm and more fully establish the effects of N fertilization on cottonseed protein concentration and protein quality (amino acid composition). In order to achieve this, seed was collected in 1976 from a N fertility experiment which had been established with the same N rates the previous 2 years. Cotton (‘DES 56’ was grown on a Dundee silt loam soil, a fine‐silt, mixed, thermic, Aeric Ochraqualfs, with four replications. The experimental design was a split‐plot with N rates (67, 90, 112, 134, and 157 kg ha‐1) as the main plots and time of application (preplant, 1/2 preplant‐1/2 sidedressed, and sidedressed) as subplots (the same plots received the same treatment each year). We measured yield of seed cotton, seed N concentration and amino acid composition. In 1976 the higher N rates increased seed N concentrations from 6.05% N up to 6.60% N, whereas time of application had no effect. Application of N decreased lysine and increased arginine concentration, whereas histidine, serine, tyrosine and phenylalanine were affected by time of application. Glycine was affected by both rate and time of application. Correlation of seed N concentration with amino acid concentration showed that arginine, cysteine and proline were positively related and that lysine, histidine, and threonine were negatively related to seed N. The effects produced by application of fertilizer N to cotton in a field situation result in seed N and amino acid concentration similar to results reported previously in an unusual field situation and allow for better prediction of N effects on cottonseed composition.

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“…Acting as the most important nutrient required in cotton, optimum applications of nitrogen (N) could achieve the balance. While deficient N could directly affect boll production and yield [1][2][3][4][5], excess N application could promote excessive vegetative growth [6]. Consequently, this excessive growth could lead to delayed boll maturity [7] and increased susceptibility to diseases and boll rot [8].…”

Section: Introductionmentioning

confidence: 99%

Estimating Cotton Nitrogen Nutrition Status Using Leaf Greenness and Ground Cover Information

et al. 2015

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Assessing nitrogen (N) status is important from economic and environmental standpoints. To date, many spectral indices to estimate cotton chlorophyll or N content have been purely developed using statistical analysis approach where they are often subject to site-specific problems. This study describes and tests a novel method of utilizing physical characteristics of N-fertilized cotton and combining field spectral measurements made at different spatial scales as an approach to estimate in-season chlorophyll or leaf N content of field-grown cotton. In this study, leaf greenness estimated from spectral measurements made at the individual leaf, canopy and scene levels was combined with percent ground cover to produce three different indices, named TCCLeaf, TCCCanopy, and TCCScene. These indices worked best for estimating leaf N at early flowering, but not for chlorophyll content. Of the three indices, TCCLeaf showed the best ability to estimate leaf N (R 2 = 0.89). These results suggest that the use of green and red-edge wavelengths derived at the leaf scale is best for estimating leaf greenness. TCCCanopy had a slightly lower R 2 value than TCCLeaf (0.76), suggesting that the utilization of yellow and red-edge wavelengths obtained at the canopy level could be used as an alternative to estimate leaf N in the absence of leaf spectral

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Seasonal and Fertility‐Related Changes in Cottonseed Protein Quantity and Quality¹

Cited by 17 publications

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Screening of Cotton Genotypes for Protein Content, Oil and Fatty Acid Composition

Screening of Cotton Genotypes for Protein Content, Oil and Fatty Acid Composition

Nitrogen Fertilization Increases N and Alters Amino Acid Concentration of Cottonseed¹

Estimating Cotton Nitrogen Nutrition Status Using Leaf Greenness and Ground Cover Information

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Seasonal and Fertility‐Related Changes in Cottonseed Protein Quantity and Quality1

Cited by 17 publications

References 0 publications

Screening of Cotton Genotypes for Protein Content, Oil and Fatty Acid Composition

Screening of Cotton Genotypes for Protein Content, Oil and Fatty Acid Composition

Nitrogen Fertilization Increases N and Alters Amino Acid Concentration of Cottonseed1

Estimating Cotton Nitrogen Nutrition Status Using Leaf Greenness and Ground Cover Information

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Product

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Seasonal and Fertility‐Related Changes in Cottonseed Protein Quantity and Quality¹

Nitrogen Fertilization Increases N and Alters Amino Acid Concentration of Cottonseed¹