ESTIMATION OF PROTEIN CONCENTRATION IN THREE PLANT PARTS AT FOUR GROWTH STAGES IN WHEAT BY NEAR INFRARED REFLECTANCE

1988 ◽  
Vol 68 (1) ◽  
pp. 217-220 ◽  
Author(s):  
M. M. NOAMAN ◽  
G. A. TAYLOR ◽  
C. F. MCGUIRE
Keyword(s):  
Triticum Aestivum ◽  
Protein Concentration ◽  
Near Infrared ◽  
Flag Leaf ◽  
Genotypic Variation ◽  
Triticum Aestivum L ◽  
Growth Stages ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance ◽  
Plant Parts

Near Infrared Reflectance was examined to be used as a technique of estimating protein concentration in the head, flag leaf, and peduncle of Newana, hard red spring wheat (Triticum aestivum L.) at four growth stages. The plant samples were taken from a field experiment including three N levels. The standard Kjeldahl method was used to estimate protein concentration in these plant parts. Protein concentration in these samples ranged from 2.7% in the peduncle to 16.7% in the flag leaf. The NIR was calibrated using these plant parts. Using 3 of 19 available filters the R2 for the calibration between Kjeldahl and NIR was 0.98. The validity of the NIR calibration was tested using an independent set of plant parts of winter wheat taken at three growth stages. The r2 obtained between Kjeldahl and NIR was highly significant. It was concluded that NIR provides an accurate, rapid, and economical technique for estimating protein concentration in aerial plant tissues. This should facilitate the screening of wheats for genotypic variation in aerial plant protein.Key words: Wheat, Kjeldahl N, protein translocation, protein estimation, Triticum aestivum L.

GENOTYPIC VARIATION IN SOME PHYSIOLOGICAL TRAITS IN WINTER WHEAT GROWN IN THE HUMID CONTINENTAL CLIMATE OF ONTARIO

1984 ◽  
Vol 64 (1) ◽  
pp. 113-118 ◽  
Author(s):  
I. AGUILAR-M. ◽  
L. A. HUNT
Keyword(s):  
Triticum Aestivum ◽  
Winter Wheat ◽  
Grain Yield ◽  
Morphological Traits ◽  
Flag Leaf ◽  
Genotypic Variation ◽  
Triticum Aestivum L ◽  
Eastern Canada ◽  
Area Index ◽  
Diffusive Resistance

Several experiments were conducted with winter wheat (Triticum aestivum L. em. Thell.) during 1978 and 1979 to characterize genotypic variation in some physiological and morphological traits, and to evaluate the magnitude of the relationships between grain yield and the various traits studied. Straw weights of cultivars grown in Eastern Canada were similar to, and harvest indices generally lower than, those reported for high yielding varieties from other countries. Highest grain weights were also lower than the upper values recorded for some cultivars in the U.K. and Mexico, and were little affected by spikelet removal in most cases. All experiments were consistent in showing highly significant correlations between grain yield and grains per square metre, straw weight, harvest index, spikes per square metre, and flag leaf area index, and significant correlations between grain yield and grain weight. Diffusive resistance of the adaxial surface of the flag leaves differed between genotypes, but correlations between diffusive resistance and yield were low and nonsignificant in all cases, with the exception of the preanthesis period in one experiment.Key words: Wheat (winter), Triticum aestivum L. em. Thell., yield, physiological-morphological traits.

scholarly journals Study of The Effect of Salt Stress and Kinetin and Their Interaction on The Growth and Yield of Wheat (Triticum Aestivum L.)

2021 ◽  
Vol 923 (1) ◽  
pp. 012084
Author(s):  
Zahra Hussein Al-Khafaji ◽  
Fouad Razzaq Al-Burki
Keyword(s):  
Triticum Aestivum ◽  
Salt Stress ◽  
Irrigation Water ◽  
Growth Traits ◽  
Flag Leaf ◽  
Block Design ◽  
Triticum Aestivum L ◽  
Growth And Yield ◽  
Growth Stages ◽  
Significant Difference

Abstract A field experiment was conducted at the first station of the College of Agriculture/University of Al-Muthanna for the agricultural season 2020-2021, with the aim of studying the effect of treatment with salinity stress and kinetin on the growth and yield of the wheat (Triticum aestivum L.) cultivar of Bohooth 22. The experiment was applied by split plates design using a randomized complete block design (R.C.B.D) with three Replicators of 36 experimental units The main units included levels of irrigation water salinity (2.5, 5, 7.5, 10) ds/m, while the secondary units included levels of kinetin (0, 30, 60 Ppm). The results of the statistical analysis showed a significant difference in the salinity of the high irrigation water in most growth traits such as plant height, flag leaf area, number of tillers plant−1, spike length (cm) and number of days to physiological maturity (day) at a rate of (.5473, 14.912, 3.222, 9.176, 143.67) respectively, and the traits of the yield and its components represented by the number of spikes. m2, number of grains per spike, weight of 1000 grains (gm), grain yield (ton ha−1) and biological yield (ton ha−1) at a rate of (300.06, 35.39, 31.60, 3.52, 9.46) respectively, while soaking the seeds with kinetin led to a significant increase in most of the studied traits. Thus, we conclude that salt stress has a negative role on the growth stages of the vegetative plant, and this leads to the reduction of the yield and its components.

Diet quality and liveweight gain of steers grazing Leucaena - grass pasture estimated with faecal near infrared reflectance spectroscopy (F.NIRS)

2008 ◽  
Vol 48 (7) ◽  
pp. 835 ◽  
Author(s):  
R. M. Dixon ◽  
D. B. Coates
Keyword(s):  
Diet Quality ◽  
Crude Protein ◽  
Protein Concentration ◽  
Near Infrared ◽  
Reflectance Spectroscopy ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance Spectroscopy ◽  
Near Infrared Reflectance ◽  
Infrared Reflectance Spectroscopy ◽  
Additional Reference

Three drafts of Bos indicus cross steers (initially 178–216 kg) grazed Leucaena–grass pasture [Leucaena leucocephala subspecies glabrata cv. Cunningham with green panic (Panicum maximum cv. trichoglume)] from late winter through to autumn during three consecutive years in the Burnett region of south-east Queensland. Measured daily weight gain (DWGActual) of the steers was generally 0.7–1.1 kg/day during the summer months. Estimated intakes of metabolisable energy and dry matter (DM) were calculated from feeding standards as the intakes required by the steers to grow at the DWGActual. Diet attributes were predicted from near infrared reflectance spectroscopy spectra of faeces (F.NIRS) using established calibration equations appropriate for northern Australian forages. Inclusion of some additional reference samples from cattle consuming Leucaena diets into F.NIRS calibrations based on grass and herbaceous legume–grass pastures improved prediction of the proportion of Leucaena in the diet. Mahalanobis distance values supported the hypothesis that the F.NIRS predictions of diet crude protein concentration and DM digestibility (DMD) were acceptable. F.NIRS indicated that the percentage of Leucaena in the diet varied widely (10–99%). Diet crude protein concentration and DMD were usually high, averaging 12.4 and 62%, respectively, and were related asymptotically to the percentage of Leucaena in the diet (R2 = 0.48 and 0.33, respectively). F.NIRS calibrations for DWG were not satisfactory to predict this variable from an individual faecal sample since the s.e. of prediction were 0.33–0.40 kg/day. Cumulative steer liveweight (LW) predicted from F.NIRS DWG calibrations, which had been previously developed with tropical grass and grass–herbaceous legume pastures, greatly overestimated the measured steer LW; therefore, these calibrations were not useful. Cumulative steer LW predicted from a modified F.NIRS DWG calibration, which included data from the present study, was strongly correlated (R2 = 0.95) with steer LW but overestimated LW by 19–31 kg after 8 months. Additional reference data are needed to develop robust F.NIRS calibrations to encompass the diversity of Leucaena pastures of northern Australia. In conclusion, the experiment demonstrated that F.NIRS could improve understanding of diet quality and nutrient intake of cattle grazing Leucaena–grass pasture, and the relationships between nutrient supply and cattle growth.

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