scholarly journals Pea Grain Protein Content Across Italian Environments: Genetic Relationship With Grain Yield, and Opportunities for Genome-Enabled Selection for Protein Yield

2022 ◽  
Vol 12 ◽  
Author(s):  
Margherita Crosta ◽  
Nelson Nazzicari ◽  
Barbara Ferrari ◽  
Luciano Pecetti ◽  
Luigi Russi ◽  
...  
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Unit Area ◽  
Central Italy ◽  
Protein Yield ◽  
Model Construction ◽  
Environment Interaction ◽  
Polygenic Control ◽  
A Genome ◽  
Ril Population

Wider pea (Pisum sativum L.) cultivation has great interest for European agriculture, owing to its favorable environmental impact and provision of high-protein feedstuff. This work aimed to investigate the extent of genotype × environment interaction (GEI), genetically based trade-offs and polygenic control for crude protein content and grain yield of pea targeted to Italian environments, and to assess the efficiency of genomic selection (GS) as an alternative to phenotypic selection (PS) to increase protein yield per unit area. Some 306 genotypes belonging to three connected recombinant inbred line (RIL) populations derived from paired crosses between elite cultivars were genotyped through genotyping-by-sequencing and phenotyped for grain yield and protein content on a dry matter basis in three autumn-sown environments of northern or central Italy. Line variation for mean protein content ranged from 21.7 to 26.6%. Purely genetic effects, compared with GEI effects, were over two-fold larger for protein content, and over 2-fold smaller for grain and protein yield per unit area. Grain yield and protein content exhibited no inverse genetic correlation. A genome-wide association study revealed a definite polygenic control not only for grain yield but also for protein content, with small amounts of trait variation accounted for by individual loci. On average, the GS predictive ability for individual RIL populations based on the rrBLUP model (which was selected out of four tested models) using by turns two environments for selection and one for validation was moderately high for protein content (0.53) and moderate for grain yield (0.40) and protein yield (0.41). These values were about halved for inter-environment, inter-population predictions using one RIL population for model construction to predict data of the other populations. The comparison between GS and PS for protein yield based on predicted gains per unit time and similar evaluation costs indicated an advantage of GS for model construction including the target RIL population and, in case of multi-year PS, even for model training based on data of a non-target population. In conclusion, protein content is less challenging than grain yield for phenotypic or genome-enabled improvement, and GS is promising for the simultaneous improvement of both traits.

Environmental and genetic variation for grain yield and barley malting quality attributes

1999 ◽  
Vol 50 (8) ◽  
pp. 1425 ◽  
Author(s):  
M. Q. Lu ◽  
L. O'Brien ◽  
I. M. Stuart
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Genetic Gain ◽  
Quality Attributes ◽  
Malting Quality ◽  
Malt Extract ◽  
Progeny Testing ◽  
Environment Interaction ◽  
Wide Range ◽  
Selection For

Genotype, environment, and genotype × environment interaction effects for malting quality attributes and grain yield were investigated using breeding lines from the F2, F3, and F4 generations and the parental varieties of 4 barley crosses. There were significant differences between the parental varieties for all attributes studied. Both malting quality and grain yield exhibited a wide range among progenies in all generations. While performance of the parental varieties and progeny for malting quality and grain yield were greatly influenced by environment, performance in one environment was predictive of that in other environments. Only for grain protein content was there evidence of crossover G × E interaction. Heritability was generally higher for F3 to F4 than for F2 to F3 for all malting quality attributes. F3 on F2 regression per cent heritability estimates for protein content, potential malt extract and grain weight were all highly significant with values generally medium in magnitude. Genetic gain was obtained from selection in both the F2 and F3 generations. Heritability and genetic gain varied from cross to cross for diastatic power. Progress from selection for the other quality attributes attests to the potential value of NIT (near infrared transmittance) spectroscopy for predicting potential malting quality. Heritability for F2 to F3 for grain yield was not significant in any cross, indicating selection for yield on the basis of individual F2 plant yield was ineffective. Heritability for grain yield from F3 to F4 was highly significant and medium in magnitude for 3 of the 4 crosses. The results of this study indicate that good genetic gain could be expected from early generation selection for potential malting quality using NIT spectroscopy and for grain yield using F3 progeny testing.

scholarly journals Sowing Dates and Soybean Cultivars Influence Seed Yield, Oil and Protein Contents in Subtropical Environment

2017 ◽  
Vol 9 (6) ◽  
pp. 188 ◽  
Author(s):  
Clovis Pierozan Junior ◽  
Jackson Kawakami ◽  
Kélin Schwarz ◽  
Renan Caldas Umburanas ◽  
Murilo Viotto Del Conte ◽  
...  
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Management Practice ◽  
Plant Morphology ◽  
High Mass ◽  
Environment Interaction ◽  
Soybean Cultivars ◽  
Sowing Dates ◽  
Late Sowing ◽  
Subtropical Environment

The sowing date is the crop management practice with higher interference on soybean grain yield, although this interference is dependent on the genotype by environment interaction. This study was carried out to evaluate how soybean genotypes behave at different sowing times in a subtropical environment. We evaluated the grain yield, yield components, plant morphology and grain oil and protein content of four soybean cultivars (FPS Urano RR, BMX Apolo RR, BMX Energia RR and BRS 284) at three sowing dates (early, mid, and late sowing in 2010/2011 season) in Mid-South of Parana State, Brazil. Early cultivars at late sowing may have problems with mechanical harvest. The number of pods and grains differed among cultivars, and the cultivar “BRS 284” showed the best results. As an exception, the cultivar “BRS 284” showed yield stability among sowing dates. Higher amount of grain protein content occurs in middle and late sowing dates. The grain yield decreased with delay of sowing due to the reduction of the grains mass and in Southern Brazil is very important to assure high mass of seed to obtain high grain yields.

Grain protein and grain yield of durum wheats from south-eastern Anatolia, Turkey

2000 ◽  
Vol 51 (6) ◽  
pp. 665 ◽  
Author(s):  
M Koç ◽  
C. Barutçular ◽  
N. Zencirci
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Environmental Effect ◽  
Triticum Turgidum ◽  
Grain Protein Content ◽  
Protein Yield ◽  
Grain Protein ◽  
Eastern Anatolia ◽  
Breeding Programs ◽  
Crop Varieties

High grain protein in durum wheat [Triticum turgidum ssp. turgidum L. conv. Durum (Desf.)] is one of the main goals of breeding programs. Landraces may be very useful germplasm for achieving this goal. To examine their potential as a source of high grain protein content, 11 genotypes, including 7 landraces, were evaluated in 8 environments. Environment, genotype, and the interaction of the two (G E) significantly influenced the variation in grain yield, grain protein content, and grain protein yield. The environmental effect was the strongest, mostly due to differences in water supply. Grain yields of the modern genotypes were higher than those of landraces. Yields of the modern genotypes tended to respond more strongly to the higher yielding environments, but they varied more than the yields of landraces. With the exception of VK.85.18, the grain protein content of the high-yielding genotypes was almost as high as that of the best landraces. Moreover, grain protein content of these bred genotypes tended to respond more strongly to the higher protein environments. Differences in grain protein yield were closely related to the differences in grain yield. The results indicate that it is possible to improve grain protein content without grain yield being adversely affected. The results also indicate that potential gene sources should be compared over a number of environments before they can be used as breeding material or as crop varieties producing high grain protein yields.

Impact of mineral and complex fertilizers on grain yield of winter rye in Northwest Russia

2020 ◽  
Author(s):  
М.В. Дятлова ◽  
Е.С. Волкова ◽  
Т.В. Шайкова
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Mineral Nutrition ◽  
Seed Treatment ◽  
Crude Protein ◽  
Kernel Weight ◽  
Protein Yield ◽  
Winter Rye ◽  
Crude Protein Content ◽  
Grain Productivity

В исследованиях были изучены способы внесения комплексных удобрений: предпосевная обработка семян комплексным удобрением «Микромак» и двухкратное некорневое внесение препаратов «Кодима Р», «Кодафол», «Микроэл», «Страда N» на двух фонах минеральных удобрений. Внесение минеральных удобрений в дозах N40P50K70 в качестве основного удобрения способствовало повышению зерновой продуктивности на 0,29–0,66 т/га, или на 7,0–16,0% к контролю. Все изучаемые препараты — «Кодима Р», «Кодафол», «Микроэл», «Страда N» — при некорневом внесении, а также комплексное удобрение «Микромак» при обработке семян перед посевом оказывали положительное влияние на урожайность зерна озимой ржи. В вариантах с допосевной обработкой семян препаратом «Микромак» и двухкратным весенним внесением комплексного удобрения «Страда N» на фоне минеральных удобрений N40P50K70 зерновая продуктивность озимой ржи увеличилась на 0,46 т/га, а на фоне N40P50K70 + N20 + некорневая подкормка препаратом «Микроэл» — на 0,33 т/га за счёт формирования большего числа продуктивных стеблей и массы 1000 зёрен. Предпосевная обработка семян препаратом «Микромак» повысила урожайность озимой ржи в контрольном варианте на 0,31 т/га. Отмечено положительное действие данного препарата на элементы структуры урожая: увеличилось число продуктивных стеблей с 2,9 до 3,6 шт., масса 1000 зёрен выросла с 29,0 до 30,4 г. Содержание сырого протеина в зерне ржи в вариантах без обработки семян было на уровне 6,4–9,8%, а с обработкой препаратом «Микромак» — от 9,4 до 12,1%. Выход сырого протеина с урожаем зерна в данных вариантах был более высоким и составил 450–600 кг/га, что на 130–160 кг/га больше, чем в вариантах без обработки. Применение комплексных универсальных удобрений «Микроэл» и «Страда N» на фоне N40P50K70 обеспечивало дополнительный сбор сырого протеина на уровне 110 кг/га. The research tested the application of complex fertilizers such as seed treatment with “Mikromak” and double topdressing by “Kodima R”, “Kodafol”, “Mikroel”, and “Strada N” on two backgrounds of mineral nutrition. Application of N40P50K70 increased grain productivity by 0.29–0.66 t ha-1 or 7.0–16.0%. All the preparations positively affected grain yield of winter rye. “Mikromak” and “Strada N” improved grain productivity by 0.46 t ha-1 on the background of N40P50K70 while “Mikromak” and “Mikroel” — by 0.33 t ha-1 on the background of N40P50K70 + N20 due to high number of reproductive stems and 1000 kernel weight. Seed treatment by “Mikromak” improved productivity of control plants by 0.31 t ha-1. “Mikromak” positively affected the number of productive stems from 2.9 to 3.6 pcs, 1000 kernel weight increased from 29.0 to 30.4 g. Crude protein content reached 6.4–9.8% in untreated seeds and 9.4–12.1% — when using “Mikromak”. Crude protein yield amounted to 450–600 kg ha-1 under “Mikromak” application exceeding the untreated variants by 130–160 kg ha-1. Application of “Mikroel” and “Strada N” provided the increase in crude protein of 90–110 kg ha-1 on the background of N40P50K70.

scholarly journals Evaluation of growth, yield and quality of maize as influenced by genotypes and nitrogen levels

2014 ◽  
Vol 43 (1) ◽  
pp. 59-64
Author(s):  
Pradeep Singh ◽  
UN Shukla ◽  
Kaushal Kumar ◽  
Smita Singh ◽  
V Kumar ◽  
...  
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Dry Matter ◽  
Growth Yield ◽  
Protein Yield ◽  
Active Radiation ◽  
Nitrogen Levels ◽  
Yield And Quality ◽  
Protein Productivity

Among genotypes, Dekalb 900 M Gold recorded significantly higher dry matter/plant, LAI, cobs placement height, grain yield, nitrogen content, protein content, protein yield and protein productivity than other genotypes. Leaves/plant and phytosynthetically active radiation (PAR) above canopy did not influenced by genotypes. Dry matter/plant, plant height, LAI, cobs placement height, protein content, protein yield and protein productivity exhibited higher under highest levels of nitrogen (160 kg N/ha), but at par with 120 kg N/ha. However, grain yield (6300 kg/ha) was highest under nitrogen levels of 120 kg/ha, but also at par with 160 kg N/ha (6240 kg/ha). The effect of applied nitrogen was found non-significant in respect of leaves/plant, PAR above and below canopy, photosynthetically active radiation interception and days taken to tasseling and silking. DOI: http://dx.doi.org/10.3329/bjb.v43i1.19747 Bangladesh J. Bot. 43(1): 59-64, 2014 (June)

Yields of Cereal Grain and Protein

1996 ◽  
Vol 32 (3) ◽  
pp. 351-356 ◽  
Author(s):  
N. W. Simmonds
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
High Protein ◽  
Protein Yield ◽  
High Protein Content ◽  
Cereal Breeding ◽  
Cereal Grain

SUMMARYEarlier work has shown that, in cereals in general, grain yield (Y) and protein content (P) are strongly negatively related. It is shown here that the expected positive expected relationship between grain yield and protein yield also holds, with (YP) given approximately by YP = 0.141 + 0.0969 Y. All cereal breeding in which high protein content is desired therefore faces a compromise with grain yield.

scholarly journals Analysis of Genotype-by-Environment Interaction in Winter Wheat Growth in Organic Production System

2018 ◽  
pp. 212 ◽  
Author(s):  
Osval Antonio Montesinos- López ◽  
P. Stephen Baenziger ◽  
Kent M. EskridgeK ◽  
Richard S. Little ◽  
Eliel Martínez- Crúz ◽  
...  
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Plant Height ◽  
Vegetation Index ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Ge Interaction ◽  
Genotype By Environment ◽  
Volume Weight ◽  
Grain Volume Weight

The goal of this study was to evaluate the performance of 36 wheat winter (Triticum aestivum L.) lines in organic systems in three locations in Nebraska, to compare the performance of the released cultivars with experimental lines to help in the process of selection, to study the magnitude and behavior of genotype-by-environment interaction for grain yield, anthesis date, plant height, protein content, grain volume weight and vegetation index, and to identify the more stable genotypes. Linear mixed models and site regression model was implemented for reaching the objectives of the present research. Genotypic and GE interaction are significant across the three locations for all traits except for anthesis date. Environment were significant for the six traits. Yield is negative correlated with protein content and plant height. In general the genetic correlation explained more of the genotype performance, although the GE interaction was significant. The best genotypes for grain yield across the three environments were genotypes NW03666, SD07165, NE07444 and Overland. For vegetation index the best lines were: Lyman and Buckskin. For grain volume weight the best lines were: Lyman, NW03681, Danby and Goodstreak. For anthesis date all genotypes were similar. For plant height, the best lines were Goodstreak, Buckskin and Clarkscream.  For protein content, the best lines were Goodstreak, Karl92, Lyman, and Clarkscream. In general the average grain yield of the experimental lines was better than the released lines. For anthesis date, the performance was similar between experimental and released lines. However, for vegetation index, plant height, grain volume weight and protein content, the average performance of the experimental lines was lower than the released lines.

IMPROVEMENT OF SPRING DURUM WHEAT SELECTION METHODOLOGIES UNDER CLIMATE CHANGE CONDITIONS

1970 ◽  
pp. 33-36
Author(s):  
А. I. Grabovets ◽  
V. P. Kadushkina ◽  
S. А. Kovalenko
Keyword(s):  
Grain Yield ◽  
Durum Wheat ◽  
Correlation Coefficient ◽  
Harvest Index ◽  
Unit Area ◽  
Correlation Coefficients ◽  
Chemical Mutagenesis ◽  
Main Method ◽  
The Relationship ◽  
Selection Of

With the growing aridity of the climate on the Don, it became necessary to improve the methodology for conducting the  breeding of spring durum wheat. The main method of obtaining the source material remains intraspecific step hybridization. Crossings were performed between genetically distant forms, differing in origin and required traits and properties. The use of chemical mutagenesis was a productive way to change the heredity of genotypes in terms of drought tolerance. When breeding for productivity, both in dry years of research and in favorable years, the most objective markers were identified — the size of the aerial mass, the mass of grain per plant, spike, and harvest index. The magnitude of the correlation coefficients between the yield per unit area and the elements of its structure is established. It was most closely associated with them in dry years, while in wet years it decreased. Power the correlation of the characteristics of the pair - the grain yield per square meter - the aboveground biomass averaged r = 0.73, and in dry years it was higher (0.91) than in favorable ones (0.61 - 0.70) , between the harvest and the harvest index - r = 0.81 (on average). In dry years, the correlation coefficient increased to 0.92. Research data confirms the greatest importance of the mass of grain from one ear and the plant in the formation of grain yield per unit area in both dry and wet years. In dry years, the correlation coefficient between yield and grain mass per plant was on average r = 0.80; in favorable years, r = 0.69. The relationship between yield and grain mass from the ear was greater — r = 0.84 and r = 0.82, respectively. Consequently, the breeding significance of the aboveground mass and the productivity of the ear, as a criterion for the selection of the crop, especially increases in the dry years. They were basic in the selection.

Using AMMI approach to delineate genotype by environment interaction and stability of barley (Hordeum vulgare L.) genotypes under northern Indian shivalik hill conditions

2020 ◽  
Vol 80 (03) ◽  
Author(s):  
Om Prakash Yadav ◽  
A. K. Razdan ◽  
Bupesh Kumar ◽  
Praveen Singh ◽  
Anjani K. Singh
Keyword(s):  
Hordeum Vulgare ◽  
Grain Yield ◽  
Principal Component ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Hordeum Vulgare L ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Principal Component Axis ◽  
Ammi Analysis

Genotype by environment interaction (GEI) of 18 barley varieties was assessed during two successive rabi crop seasons so as to identify high yielding and stable barley varieties. AMMI analysis showed that genotypes (G), environment (E) and GEI accounted for 1672.35, 78.25 and 20.51 of total variance, respectively. Partitioning of sum of squares due to GEI revealed significance of interaction principal component axis IPCA1 only On the basis of AMMI biplot analysis DWRB 137 (41.03qha–1), RD 2715 (32.54qha–1), BH 902 (37.53qha–1) and RD 2907 (33.29qha–1) exhibited grain yield superiority of 64.45, 30.42, 50.42 and 33.42 per cent, respectively over farmers’ recycled variety (24.43qha–1).

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