scholarly journals Updated stomatal flux and flux-effect models for wheat for quantifying effects of ozone on grain yield, grain mass and protein yield

2012 ◽  
Vol 165 ◽  
pp. 147-157 ◽  
Author(s):  
Ludger Grünhage ◽  
Håkan Pleijel ◽  
Gina Mills ◽  
Jürgen Bender ◽  
Helena Danielsson ◽  
...  
Keyword(s):  
Grain Yield ◽  
Protein Yield ◽  
Stomatal Flux

scholarly journals Row Arrangements of Maize and Soybean Intercrop on Silage Quality and Grain Yield

2019 ◽  
Vol 11 (2) ◽  
pp. 286
Author(s):  
Vanderson Vieira Batista ◽  
Paulo Fernando Adami ◽  
Pedro Valério Dutra de Moraes ◽  
Karine Fuschter Oligini ◽  
Cleverson Luiz Giacomel ◽  
...  
Keyword(s):  
Grain Yield ◽  
Crude Protein ◽  
Biomass Yield ◽  
Block Design ◽  
Forage Yield ◽  
Protein Yield ◽  
Maize Grain Yield ◽  
Sole Crop ◽  
Silage Quality ◽  
Maize Grain

The success of maize + soybean intercrop depends on the plant arrangement. An experiment was carried out to evaluate different row arrangements on intercrop forage yield, silage quality and maize grain yield in relation to maize as a sole crop. The experiment was set up with a randomized complete block design with eight row arrangements between maize and Soybean. Maize biomass yield among crop arrangements were similar, although, lower than the maize sole crop. On the other hand, these treatments showed higher soybean biomass yield, which in turn increased silage crude protein and crude protein yield per unit area. Maize thousand grain weight, grain yield per plant and per area was affected by the intercrop arrangements. The use of two corn rows + two soybean rows (2M+2S-30 cm) and four corn rows + four soybean rows (4M+4S-30 cm) showed higher crude protein yield per area associated with similar maize grain yield in relation to the sole maize crop. In conclusion, alternating four maize rows with four soybean rows was the optimum row ratio in maize + soybean intercrop, though this needs to be further confirmed by more trials.

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.

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.

scholarly journals The variance in growth and yield Sorghum bicolor L. Moench genotypes under different foliar nano fertilizers

2020 ◽  
Vol 8 (1) ◽  
pp. 33-40
Author(s):  
Ali H. A. AL-Shammari ◽  
Karem.H. Mohsen ◽  
Bahaaldin.M. Mohsen
Keyword(s):  
Field Experiment ◽  
Grain Yield ◽  
Yield Components ◽  
Clay Soil ◽  
Growth Characteristics ◽  
Protein Yield ◽  
Growth And Yield ◽  
Sorghum Bicolor L ◽  
Alluvial Clay

"A field experiment carried out in 2017 in Qurna district Al-Basra governorate in alluvial clay soil at a line of 47.27 degrees east and latitude 30.56 degrees north, with the aim of finding out the effect of foliar varieties of Nanofertilizer on the growth characteristics and yield of three varieties of the Sorghum. The results showed that the varieties differed significantly among them in most of traits, as the Alkhir variety out performed the yield components, which led to it being given the highest grain yield of 5.740 tons ha-1 and the highest protein yield of 0.608 tons. ha-1 , and the results also showed the superiority of foliar with fertilizer. The nanoparticles of the both elements together are zinc and copper in the growth characteristics (161 cm, 3465 cm2) and the components of the yield (1713 grains, head-1 30.95 g), which was reflected in the grain yield, which gave the highest grain yield of 5.9 tons. ha-1 compared to the treatment of adding each element alone and the treatment of non The addition, while the significant overlap between the quality of the nanoparticle and the varieties affected some growth characteristics, grain yields and protein, as the combination (good x addition of the two elements together) gave the highest grain and protein yield, reaching 6.77 tons. ha-1 and 0.753 tons. Respectively."

scholarly journals Competition and yield advantage in barley-barley and barley-oats mixtures

1991 ◽  
Vol 63 (4) ◽  
pp. 255-285 ◽  
Author(s):  
Kari Jokinen
Keyword(s):  
Grain Yield ◽  
Nitrogen Fertilization ◽  
Competitive Ability ◽  
Relative Yield ◽  
Growing Season ◽  
Protein Yield ◽  
Total Density ◽  
Initial Development ◽  
Relative Yield Total ◽  
Competitive Relations

Competition and yield advantage in barley varietal mixtures and in barley-oats mixtures were investigated. The trials were based on replacement series, but in a few cases the overall density of the stand was varied on the basis of an addition series. Both models of competition, one based on the de Wit model and the other upon a linear regression model, agreed as to which component was the dominant and which was the subordinate in the mixture. The competition coefficients from regression analyses depicted competition between components better in a dense than in a sparse stand. The competitive ability of a genotype did not depend directly upon individual characters of the genotype, such as rate of initial development, earliness, culm height, tillering capacity or grain yield in monoculture (adaptation), A good combination of characters from the viewpoint of competition was provided by the barley cv. Arra with its rapid initial development and rapid culm growth (earliness), the variety being dominant irrespective of number of components in the mixture, stand density, level of nitrogen fertilization or growing season. This suggests that competitive relations and distribution of resources within a mixture are determined at an early stage in the growing period. In other cases the competitive ability of a genotype varied from one environment to another with the competitive relations between components being inconsistent. The dominance of an aggressor usually increased with increasing nitrogen fertilization especially when the total density of the stand was high. As a rule, competition affected all the components of yield with the kernel weight being least affected. The grain yield of varietal mixtures did not differ from the yield of the highest yielding component grown alone, i.e., mixtures did not over yield. The relative yield total of varietal mixtures was higher at low (RYT > 1) than at optimal densities (RYT =1). Also the relative yield total was higher under conditions where the nitrogen fertilization was not optimal. The results of a varietal trial repeated during three successive years indicated that the relative yield total of a given mixture varied from one growing season to another, fluctuating around unity. Thus highly adapted barley varieties appear to compete for the same resources, and the grain yield advantage of such mixtures is marginal. The results of the barley-oats mixture trials revealed that the mixture may over yield. The relative yield totals of barley-oats mixtures were usually equal to or greater than unity the latter suggesting that the mixtures of barley and oats may use resources more efficiently than monocultures, and some grain yield advantage could be achieved with such mixtures. The protein yield of the barley-oats mixtures did not differ from the yield of the highest yielding component grown alone. The ratio of actual and expected protein yield and the relative protein yield total were usually slightly greater than one. The grain yields of mixtures were not consistently more stable than monocultures as determined by the coefficient of variation.

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.

THE EFFECTS OF SEEDING RATE, SEEDING DATE AND LOCATION ON GRAIN YIELD, MATURITY, PROTEIN PERCENTAGE AND PROTEIN YIELD OF SOME SPRING WHEATS IN CENTRAL ALBERTA

1979 ◽  
Vol 59 (4) ◽  
pp. 1139-1145 ◽  
Author(s):  
K. G. BRIGGS ◽  
ATTINAW AYTEN-FISU
Keyword(s):  
Grain Yield ◽  
Triticum Aestivum L ◽  
Protein Yield ◽  
Seeding Rate ◽  
Protein Percentage ◽  
Seeding Date ◽  
Days To Maturity ◽  
Minimum Number ◽  
Germplasm Type ◽  
Main Effects

Five Canada Utility and two Canada Western Red Spring Wheat (Triticum aestivum L.) genotypes were tested at three Central Alberta locations under 18 conditions of seeding management, consisting of six seeding rates (30–180 kg/ha) combined with three seeding dates. Main effects of dates (D), rates (R) and genotypes (G) were significant at one or more locations for grain yield, days to maturity, grain protein percentage and protein yield. Based on the average response of the seven genotypes, early seeding combined with seeding rates of 90 kg/ha or more gave optimum yield with a minimum number of days to maturity. Main effects were not always the same at all locations, implying G × Location interactions. Significant G × R and G × D interactions were recorded for all variables at one or more locations, although their magnitude was not as great as for the main effects. A significant G × R × D effect was also recorded at one or more locations for grain yield, days to maturity and protein yield. Existence of significant G × R, G × D and G × R × D effects suggests that new wheat cultivars, particularly when of novel germplasm type, should be checked for response to variable seeding management at different locations, in order to capitalize on any favorable interactions.

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)

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