THE EFFECTS OF PHOSPHORUS AND NITROGEN FERTILIZER ON THE RELATIONSHIP BETWEEN SOIL SALINITY LEVELS AND THE GRAIN YIELD AND PROTEIN CONTENT OF BARLEY GROWN ON STUBBLE LAND

1983 ◽  
Vol 63 (4) ◽  
pp. 705-718 ◽  
Author(s):  
J. R. PETERS
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Soil Salinity ◽  
Barley Grain ◽  
Regression Equations ◽  
Strong Positive Correlation ◽  
Surface Salinity ◽  
Critical Salinity ◽  
Salinity Levels ◽  
The Relationship

The effect of fertilizer P, N and N-P combined on barley grain yield and protein content when grown on stubble land ranging widely in surface salinity (0–60 cm depth) was tested. Critical salinity levels were calculated from linear regression equations derived from sampling sites with surface salinity levels [Formula: see text]. Added P did not appear to affect the salt tolerance of barley. Yield increases due to fertilizer N were reduced rapidly as soil salinity levels increased and in one trial appeared to reduce the tolerance of barley to salinity. Calculated salinity levels at 50% and zero yield of N-fertilized barley were lower than for barley not fertilized with N. Calculated salinity levels at zero yield for the control and P treatments were 18.5 and 15.1 mS∙cm−1, respectively. These levels compared favorably with values reported in the literature for barley grown on saline fallowed land. Protein content of barley grain increased with an addition of N and with salinity. The latter fact could be largely explained by a strong positive correlation between soil salinity and soil NO3−-N levels and to a lesser degree by a reduction in yield with increasing salinity. Key words: Salinity, barley, fertilizer effects, yield, protein

The relationship of several plant characters with grain yield in sorghum and their use in estimating grain loss through pest activity

1976 ◽  
Vol 16 (78) ◽  
pp. 129
Author(s):  
PN Vance
Keyword(s):  
Grain Yield ◽  
Moisture Stress ◽  
Close Correlation ◽  
Regression Equations ◽  
Grain Number ◽  
Potential Yield ◽  
Sowing Dates ◽  
Single Grain ◽  
Relationship Of ◽  
The Relationship

The relationship between grain yield and five plant characters in grain sorghum hybrid Pioneer 846 was studied. Grain yield was closely correlated with head weight, weight of a standard length of peduncle (WSP), peduncle perimeter (PP), head length and breadth. The close correlation of grain yield on WSP was shown to exist at a number of sites and for a number of varieties. However, regression equations differed for different sites, sowing dates and varieties. Of the two components of grain yield per head, single grain weight and grain number; only grain number was closely correlated with WSP. In one instance where moisture stress affected grain development, grain number but not yield was closely correlated with WSP. WSP was shown not to be affected by damage to the head and could therefore be used to estimate potential yield in agronomic trials where yield loss due to pest activity has occurred.

scholarly journals Strengths and Weaknesses of National Variety Trial Data for Multi-Environment Analysis: A Case Study on Grain Yield and Protein Content

Agronomy ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 753 ◽  
Author(s):  
Vahid Rahimi Eichi ◽  
Mamoru Okamoto ◽  
Trevor Garnett ◽  
Paul Eckermann ◽  
Benoit Darrier ◽  
...  
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Complex Traits ◽  
Wheat Varieties ◽  
Environment Analysis ◽  
Environment Study ◽  
Australian Wheat ◽  
The Impact ◽  
The Relationship

Multi-environment trial studies provide an opportunity for the detailed analysis of complex traits. However, conducting trials across a large number of regions can be costly and labor intensive. The Australian National Variety Trials (NVT) provide grain yield and protein content (GPC) data of over 200 wheat varieties in many and varied environments across the Australian wheat-belt and is representative of similar trials conducted in other countries. Through our analysis of the NVT dataset, we highlight the advantages and limitations in using these data to explore the relationship between grain yield and GPC in the low yielding environments of Australia. Eight environment types (ETs), categorized in a previous study based on the time and intensity of drought stress, were used to analyze the impact of drought on the relationship between grain yield and protein content. The study illustrates the value of comprehensive multi-environment analysis to explore the complex relationship between yield and GPC, and to identify the most appropriate environments to select for a favorable relationship. However, the NVT trial design does not follow the rigor associated with a normal genotype × environment study and this limits the accuracy of the interpretation.

Improvements in malting barley grain yield by manipulation of genes influencing grain protein content

Euphytica ◽  
2007 ◽  
Vol 156 (1-2) ◽  
pp. 185-194 ◽  
Author(s):  
Livinus C. Emebiri ◽  
David B. Moody ◽  
Cassandra Black ◽  
Maarten van Ginkel ◽  
Eduardo Hernandez
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Grain Protein Content ◽  
Barley Grain ◽  
Grain Protein ◽  
Malting Barley

scholarly journals Multi-Environmental Evaluation of Protein Content and Yield Stability among Tropical Soybean Genotypes Using GGE Biplot Analysis

Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1265
Author(s):  
Tonny Obua ◽  
Julius Pyton Sserumaga ◽  
Bruno Awio ◽  
Fredrick Nganga ◽  
Thomas L. Odong ◽  
...  
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Soybean Protein ◽  
Block Design ◽  
Gge Biplot ◽  
Test Environment ◽  
Soybean Genotype ◽  
Environmental Evaluation ◽  
Soybean Genotypes ◽  
The Relationship

The yield and protein performance in a soybean genotype result from its interaction with the prevailing environmental conditions. This makes selecting the best genotypes under varied target production environments more complex. This study’s objectives were to determine protein content and protein stability of 30 elite soybean genotypes in major soybean-growing areas of Uganda, assess the yield performance and stability in soybeans and determine the relationship between the protein content and grain yield in soybeans. The genotypes were planted in a randomized complete block design of three replications for six seasons across eight locations in Uganda. Genotype and genotype-by-environment (GGE) biplot analyses classified the test locations into three mega-environments for soybean protein and grain yields. Genotype NII X GC 20.3 had the highest mean protein content of 43.0%, and BSPS 48A-9-2 and BSPS 48A-28 were superior for the mean grain yield (1207 kg ha−1). Bulindi was the most discriminating and representative test environment for soybean yield. A weak and negative correlation (r = −0.1**, d.f. = 29) was detected between the protein content (%) and yield (kg ha−1). The highest-yielding genotypes BSPS 48A-9-2, BSPS 48A-31, and Nam II × GC 44.2 are recommended for further evaluation under farmers’ production conditions for selection and release as new soybean varieties in Uganda.

scholarly journals The results of using in the breeding process of collection samples of winter triticale in terms of grain quality

2021 ◽  
pp. 84-90
Author(s):  
O.S. Levchenko ◽  
O.I. Kostenko ◽  
L.M. Holyk ◽  
I.V. Shpakovych
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Starch Content ◽  
Statistical Processing ◽  
Inverse Correlation ◽  
Infrared Spectrometry ◽  
Individual Values ◽  
Winter Triticale ◽  
Relationship Of ◽  
The Relationship

The aim of the work was to evaluate the collection samples of winter triticale by protein content and to establish the relationship between its quantity and other valuable economic features. Materials and methods. Collection samples of winter triticale, infrared spectrometry method, mathematical and statistical processing. Results. According to the protein content, the samples was divided into four groups. The average protein content in the collection nursery was 11.2% with the variability of individual values from 9.3% to 12.2%. The average reliable inverse correlation of yield with protein content in grain (r = −0.37) and weak line with starch content (r = 0.17) were established, Conclusions. An inverse relationship of medium strength between starch and protein content has been found. which proves the possibility of selection to increase grain yield without reducing the starch content. An inverse correlation between protein content and grain yield has been shown.

Dissecting the genetics underlying the relationship between protein content and grain yield in a large hybrid wheat population

2018 ◽  
Vol 132 (2) ◽  
pp. 489-500 ◽  
Author(s):  
Patrick Thorwarth ◽  
Guozheng Liu ◽  
Erhard Ebmeyer ◽  
Johannes Schacht ◽  
Ralf Schachschneider ◽  
...  
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Hybrid Wheat ◽  
Wheat Population ◽  
The Relationship

scholarly journals Nutrients Content in Some Vegetables Grown in South-Central Coastal Regions of Bangladesh

2018 ◽  
Vol 16 (02) ◽  
pp. 43-57
Author(s):  
AKM Faruk E Azam ◽  
Md Taifur Rahman ◽  
Muhammad Maniruzzaman ◽  
Abdullah Al Zabir ◽  
Md Nizam Uddin
Keyword(s):  
Soil Salinity ◽  
Crop Production ◽  
Spinacia Oleracea ◽  
Saline Soil ◽  
Fertilizer Application ◽  
Bottle Gourd ◽  
Nutrient Contents ◽  
South Central ◽  
Salinity Levels ◽  
The Relationship

Soil salinity is one of the most important abiotic stresses for crop production. A study was conducted to analyze the relationship between salinity level and nutrient contents in some popular vegetables grown in some selected tidal areas of Barguna and Patuakhali districts of Bangladesh. Samples of six different vegetables such as bottle gourd leaf (Lagenaria siceraria), sweet gourd leaf (Cucurbita maxima), radish leaf (Raphanus sativus), bean (Lablab niger), red amaranth (Amaranthus gangeticus) and spinach (Spinacia oleracea) were collected along with soils from different locations of the study areas and were analyzed for phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg), sulphur (S) contents. Soil pH and electrical conductivity (EC) were determined. In saline areas, comparatively lower amounts of P, K, Ca, Mg and S were detected in most of the collected vegetables than those of non-saline areas. Conversely, bottle gourd leaf, radish leaf and bean accumulated comparatively higher amount of Ca at higher salinity levels. The uptake of P by bottle gourd leaf and radish leaf, Mg by bottle gourd leaf and red amaranth was also higher in the saline soil. The inconsistent uptake of Ca, Mg and P were found in some vegetables due to the differences of fertilizer application and intercultural operation. The vegetables could tolerate moderate soil salinity (soil EC up to7.9 dSm-1) and might be recommended to grow in the tidal saline areas of Barguna and Patuakhali districts of Bangladesh. The Agriculturists 2018; 16(2) 43-57

Sodium chloride and soil texture interactions in irrigated field grown sultana grapevines. III. Soil and root system effects

1992 ◽  
Vol 43 (5) ◽  
pp. 1085 ◽  
Author(s):  
LD Prior ◽  
AM Grieve ◽  
PG Slavich ◽  
BR Cullis
Keyword(s):  
Soil Salinity ◽  
Soil Texture ◽  
Saline Water ◽  
Irrigation System ◽  
Crop Productivity ◽  
Balance Model ◽  
Trickle Irrigation ◽  
Salt Treatment ◽  
Salinity Levels ◽  
The Relationship

Five salinity treatments, ranging between 0.37 and 3.47 dS m-1, were applied through a trickle irrigation system to own-rooted sultana grapevines for six years. The changes in soil salinity levels and the relationship between soil salinity and yield were studied, and a simplified salt balance model was developed to calculate leaching fractions. Soil salinity was strongly influenced by soil texture as well as by salt treatment, because leaching fractions were lower in heavier soils; they averaged 23% in the lightest soils and 10% in the heaviest. Leaching fractions also increased with salt treatment, from 7% in the 0.37 dS m-1 treatment to 24% in the 3.47 dS m-1 treatment. This was probably because water use by salinized vines was lower. Yield was correlated with mean soil salinity, ECe, but the relationship was not as good as with plant salinity levels. The fitted model accounted for between 52 and 62% of the variance. It was concluded that soil salinity levels at the end of winter should be maintained below 1.0 dS m-1 in order to keep yield losses below 10%. For own-rooted sultana grapevines in Sunraysia, this requires a leaching fraction of about 8%. Rootzone depth and root density were lower in the heavier soils, and were decreased by salt treatment. The deleterious effects of salt treatment on clay dispersion and soil hydraulic conductivity were also greater in the heavier soils. Soil properties must therefore be considered when predicting the effects of saline water on crop productivity, especially in the long term.

scholarly journals Effect of nitrogen fertilisation on technological value of spring barley grain

2019 ◽  
Vol 121 (4) ◽  
pp. 102-112
Author(s):  
Anna Wirkijowska ◽  
Piotr Zarzycki ◽  
Kazimierz Noworolnik ◽  
Danuta Leszczyńska
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Dietary Fibre ◽  
Spring Barley ◽  
Barley Grain ◽  
Nitrogen Fertilisation ◽  
Barley Cultivars ◽  
Technological Value ◽  
Plant Cultivation

The objective of the research study was to determine the effect of nitrogen fertilisation level on changes in the technological value of five spring barley cultivars intended for food production. A pot experiment with spring barley was performed in the greenhouse run by the Institute of Soil Science and Plant Cultivation. The barley cultivars studied were compared for the quantity and quality of grain yield including their response to three levels of nitrogen fertilisation (NH4NO3): 1, 2 and 3 g N/pot. The nitrogen fertilisation level proved to have a significant effect on the yield and quality of grains of the barley cultivars examined. With the increase in the nitrogen dose levels to 3 g/pot, a significant increase was reported in the grain yield and number of spikes per pot in all the spring barley cultivars, however there was a decrease in the weight of 1000 kernels. The levels of nitrogen fertilisation and the barley cultivars proved to have a significant impact on the contents of total dietary fibre (TDF) and (1,3)(1,4)-β-D-glucans but no interaction was found between the level of fertilisation and the cultivar. Significantly higher contents of TDF and (1,3)(1,4)-β-D-glucans were reported in the examined spring barley cultivars at a dose of 2 and 3 g N/pot compared to 1 g N/pot. With the increase in the nitrogen dose to 3 g N/pot, a significant increase was reported in the protein content in all the cultivars. Owing to the highest contents of dietary fibre and (1,3)(1,4)-β-D-glucans, and to a high protein content, the ‘Bordo’ and ‘Tocada’ varieties can be recommended as the best varieties to produce food.

Wild Oat (Avena fatua) and Spring Barley (Hordeum vulgare) Density Affect Spring Barley Grain Yield

1991 ◽  
Vol 5 (1) ◽  
pp. 33-39 ◽  
Author(s):  
Richard M. Evans ◽  
Donald C. Thill ◽  
Lawrence Tapia ◽  
Bahman Shafii ◽  
Joan M. Lish
Keyword(s):  
Grain Yield ◽  
Field Experiments ◽  
Spring Barley ◽  
Barley Grain ◽  
Seed Rain ◽  
Wild Oat ◽  
Asymptotic Type ◽  
Oat Biomass ◽  
Relationship Of ◽  
The Relationship

Addition series field experiments were conducted near Moscow, ID, in 1987 and 1988 to determine the relative aggressiveness of spring barley and wild oat and to determine the effect of barley and wild oat density and proportion on barley grain yield and wild oat seed rain. Regression analysis was used to describe the relationship of the aboveground biomass and grain yield to species density. Barley was more aggressive than wild oat. Barley biomass was affected most by intraspecific competition, while wild oat biomass was affected most by interspecific competition. Barley aggressiveness changed little throughout the growing season. Wild oat aggressiveness varied but was always less than barley aggressiveness. Increasing wild oat density had a negative, asymptotic-type effect on barley grain yield at all barley densities. However, the effect of wild oat was greatest at the lower density of barley. Increasing barley density decreased wild oat seed rain.

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