Multi-environment Manifestation of Heterosis for Morphological and Quality Traits in Maize (Zea mays L.)

An investigation was carried out with 10 parents, their 45 hybrids mated in half-diallel fashion and 4 checks in RBD for estimation of heterosis in two environment (Kharif, 2014 and Rabi, 2014-15) at the Instructional farm, RCA, MPUAT, Udaipur, India. The average productivity of maize in USA is 11.07 MT ha-1 while, in India it is only 3.02 MT ha-1 during 2018-19. We lag far behind USA and are still not able to harness the optimum yield potential in maize that could partly be addressed by evolving hybrid maize cultivar. The present study aims to is identify heterotic hybrids that could yield stably with better grain quality over a range of environments. Environment wise Analysis of variance revealed that mean squares due to genotypes were significant for all the traits in both the environments. Partitioning of total genotypic variance indicated significant contribution of parents for all the traits. Mean squares due to crosses were significant for all the traits under study except for days to 50% tasseling. Mean squares due to parents vs. crosses were significant for all the traits except for days to 75% brown husk. Bartlett test showed homogeneity of error variance only for one trait i.e. grain oil content. The pooled analysis for grain oil content revealed significant differences between the environments. The mean squares due to genotypes including parents, crosses and parents vs. crosses were also significant. Significance of GE interaction for oil content indicates the influence of environments on the expression of this trait. The partitioning of GE interaction into those that by parents×environment and crosses×environment interaction were also significant. Two hybrids in E1, viz., P3×P6 and P2×P4 has shown significant negative economic heterosis for days to 50% tasseling, days to 50% silking and days to 75% brown husk. None of the hybrids has shown significant negative economic heterosis for these traits in E2 environment. The hybrid P3×P5 exhibited maximum positive economic heterosis (6.71%) for grain oil content over the best check HQPM-5 on pooled basis. The hybrid P5×P7 (2.78%) in E1 and P5×P10 (2.58%) in E2 exhibited maximum positive economic heterosis for grain starch content over the best check HQPM-1. The maximum positive economic heterosis for grain protein content was exhibited by hybrid P5×P8 (4.14 %) in E1 and by P3×P5 (2.49%) in E2 over the best check HQPM-5.

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Genetic Improvement of Jatropha for Biodiesel Production

Ceiba ◽

10.5377/ceiba.v51i1.640 ◽

2012 ◽

Vol 51 (1) ◽

pp. 1-10 ◽

Cited By ~ 10

Author(s):

Bruno Galvêas Laviola ◽

Rodrigo Barros Rocha ◽

Adilson Kenji Kobayashi ◽

Tatiana Barbosa Rosado ◽

Leonardo Lopes Bhering

Keyword(s):

Combining Ability ◽

Crop Production ◽

Oil Content ◽

Phorbol Esters ◽

Climatic Conditions ◽

Biodiesel Production ◽

Yield Potential ◽

High Yield ◽

Environment Interaction ◽

Oilseed Crop

Jatropha curcas L. is a perennial oilseed crop belonging to the Euphorbiaceae family, whose oil content in seeds varies from 33 to 38%, giving a yield potential of over 1200 kg of oil per hectare. However, it is a non-domesticated species and research is required for commercial exploration of this species for biodiesel production. The strategies of Embrapa’s jatropha breeding program aim at developing cultivars with high yield and oil content, non-toxic (absence of phorbol esters), resistant to biotic and abiotic stresses and adapted to the main producing regions of Brazil. The program activities started with the enrichment and characterization of the germplasm bank, currently with over 200 accessions from different regions of Brazil. Depending on the specific objectives of the program, different selection and breeding methods are employed. In order to understand the genetic control of specific traits and to generate segregating populations, experimental designs such as diallel crosses, which allow the estimation of heterosis, general combining ability and specific combining ability among genotypes, have been adopted. In addition, molecular markers such as SSR and SNPs are being developed and may help in early selection for characters such as the absence of toxicity in the grains. The program also includes the study on genotype × environment interaction with the evaluation of the progenies/improved clones in different regions of Brazil, which is essential for recommending cultivars for specific or broad climatic conditions. In conclusion, considering that J. curcas is a perennial species and still not domesticated, approximately 5-7 years will be required to obtain improved cultivars and evidence-based information on crop production systems to support commercial cultivation.

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The significance of biological bases in maize production

Acta Agraria Debreceniensis ◽

10.34101/actaagrar/52/2101 ◽

2013 ◽

pp. 61-65

Author(s):

Ágnes Krivián

Keyword(s):

Moisture Content ◽

Oil Content ◽

Starch Content ◽

Flowering Plant ◽

Yield Potential ◽

Early Date ◽

Genetic Characteristics ◽

Humus Layer ◽

Significant Difference ◽

Dry Down

The comparative trial has been set up in the Demonstration Garden of the Institute of Crop Sciences of the University of Debrecen, Centre for Agricultural and Applied Economic Studies, Faculty of Agricultural and Food Sciences and Environmental Management in 2012, with 24 hybrids with different genetic characteristics and growing periods. The soil of the trial is lime-coated chernozem, with a humus layer of 50–70 cm. The weather of the trial year was quite droughty; the monthly average temperature was 3–4 oC higher than the average of 30 years. High temperature, together with lack of precipitation occurred during the most sensitive phenophases of maize (flowering; fecundation, grain saturation). The following characteristics have been observed: starting vigour, date of male and female flowering, plant and cob height, dry-down dynamics during maturation and the change of yield composing elements has also been quantified. The yield was recalculated to 14% moisture content grain yield after harvesting. The beginning of the growing period was advantageous, therefore the analysed hybrids could grow a high (above 300 cm) and strong stem. The yield of the hybrids changed between 10.33 and 11.87 t ha-1, but as a result of the unfavourable climatic extremes, their genetic yield potential prevailed only at a rate of 30–40%. However, moisture content by the time of harvesting was good despite its early date (12th September); it remained under below 14% in most cases. Dry-down was measured on a weekly basis between 14th August and 5th September. The analysis of the qualitative parameters of the maize hybrids (protein %, oil % and starch %) resulted in significant differences. The most significant difference has been observed in the case of protein content (LSD5%=2.01). Oil content was the most advantageous in the case of hybrids belonging to the mid-late growing group (FAO 400). The X9N655 and 36V74 hybrids had the highest oil content (around 4%), while hybrids P9915 and 37F73 had significantly lower oil content. Starch content was above 70% in the case of every hybrid. Hybrid selection is highly important in terms of yield and yield security of maize, as well as the application of modern biological fundamentals and hybrid specific technology for the improvement of the level of cultivation technology.

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ANALISIS GGE BIPLOT PADA HASIL KLON-KLON UBI KAYU MENGGUNAKAN METODE RESTRICTED MAXIMUM LIKELIHOOD

Informatika Pertanian ◽

10.21082/ip.v25n1.2016.p89-98 ◽

2016 ◽

Vol 25 (1) ◽

pp. 89

Author(s):

Kartika Noerwijati ◽

NFn Nasrullah ◽

NFn Taryono ◽

Djoko Prajitno

Keyword(s):

Error Variance ◽

Residual Error ◽

Yield Potential ◽

High Yield ◽

Environment Interaction ◽

Genotype Environment Interaction ◽

Materials Used ◽

Planting Materials ◽

Selection Of ◽

Suitable Environment

The study was conducted in five locations i.e Kediri, Ponorogo, Probolinggo, Malang, and Mojokerto, from November 2010 until August 2011. The planting materials used were 15 cassava clones. The research objective was to compare analysis methods of the genotype × environment interaction, namely: a) GGE technique using REML without A matrix by assuming homogeneous residual error variance, b) GGE technique using REML with A matrix by assuming homogeneous residual error variance, c) GGE technique using REML without A matrix by assuming heterogeneous residual error variance, and d) GGE technique using REML with A matrix by assuming heterogeneous residual error variance. The results showed that GGE technique using REML without A matrix by assuming heterogeneous residual error variance was more appropriate. Clones CMM 03038-7 (G8) had a wide adaptability and high yield potential, and its clone was closest to the ideal criteria for genotype compared with other genotypes. Clones CMM 03094-4 (G10) had specific adaptability in the environments S2 (Malang) and S5 (Mojokerto), and it had higher yield potential than the control varieties UJ5, Malang 6, and Adira 4. Environment Kediri (S1) had the highest yield among other environments and Kediri was a suitable environment for the growth and selection of cassava.<p align="center"> </p>

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Evaluation of castorbean samples by economically - valuable traits

Scientific and Technical Bulletin of the Institute of Oilseed Crops NAAS ◽

10.36710/ioc-2018-26-05 ◽

2018 ◽

pp. 39-48

Keyword(s):

Ricinoleic Acid ◽

Castor Bean ◽

Castor Oil ◽

Oil Content ◽

Climatic Conditions ◽

Second Order ◽

Yield Potential ◽

Technological Parameters ◽

Potential Yield ◽

Ricinolic Acid

Castor oil (Ricinus communus L.) is an important commercial product. The climatic conditions of Ukraine determine the possibility of growing the castor as an annual crop. At the Institute of Oilseeds NAAS studied castor collection. The aim of the work was the selection of the most promising samples of castor oil, combining a large yield potential in a narrow range of vertical distribution for optimal technological parameters of mechanical harvesting with a high content of oil in seeds and ricinolic acid in oil. In the experience of 2015-2016, the manifestation of morphological features of 17 castor bean samples was studied. The height of plants, individual samples among themselves differed more than twice. Long-brush samples of ЕР118, К374, М203, К159 are distinguished on the basis of the length of the brush. The shortest brush was observed in sample K1008. The length of the productive brush in the studied samples is from 10.7 to 32.9 cm. Most castor bean samples under favorable conditions form brushes of the second and higher orders. According to this parameter, samples of Ep118 and selection No. 38 with four inflorescences of the second order are of the greatest interest. The largest brushes of the second order are similar in size to the brushes of the first order were observed in the samples: К1127, К810, К153. The adaptability of harvesting castor beads requires that the brushes of the first and second order coincide in height with each other, since the harvester can take a maximum of 60 cm. For the sum of the productive brushes of the first and second orders, the greatest potential yield will be provided by samples K159 and K1127. Among the studied collection stands out the small seed sample K159 and the large seed samples - PRL41 and K80. The average oil content in the seeds of the collection was from 52 to 61.4%. Sample38 had the highest oil content. The content of ricinolic acid in the collection was from 70.9 to 82.9%. Samples were isolated: К134, К1008, PRL41, К430 with the content of ricinoleic acid more than 80%. The results of the study of all parameters make it possible to isolate valuable technological samples. Sample K1064 with a high technological potential of productivity, with a seed oil content of 57.2%, has a not very high content of ricinoleic acid of 74.3%. Sample K1127 with an oil content of 58.6%, a mass of 1000 seeds of 265 g, a high potential of productive brushes has a wide variation in the arrangement of brushes. Sample K134 with a oil content of 57.1%, ricinoleic acid content of 80.7% has small second-order brushes and can be used as a single-cysts in a thicker seeding.

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Genotype and environment interaction of sweetpotato varieties

Bangladesh Journal of Agricultural Research ◽

10.3329/bjar.v44i3.43481 ◽

2019 ◽

Vol 44 (3) ◽

pp. 501-512

Author(s):

S Sultana ◽

HC Mohanta ◽

Z Alam ◽

S Naznin ◽

S Begum

Keyword(s):

Tuber Yield ◽

Agricultural Research ◽

Genotype By Environment Interaction ◽

Yield Potential ◽

Environment Interaction ◽

Dry Matter Content ◽

Genotype By Environment ◽

Discriminating Power ◽

Study Results ◽

Main Effect

The article presents results of additive main effect and multiplicative interaction (AMMI) and genotype (G) main effect and genotype by environment (GE) interaction (G × GE) biplot analysis of a multi environmental trial (MET) data of 15 sweetpotato varieties released from Bangladesh Agricultural Research Institute conducted during 2015–2018. The objective of this study was to determine the effects of genotype, environment and their interaction on tuber yield and to identify stable sweetpotato genotypes over the years. The experimental layout was a randomized complete block design with three replications at Gazipur location. Combined analysis of variance (ANOVA) indicated that the main effects due to genotypes, environments and genotype by environment interaction were highly significant. The contribution of genotypes, environments and genotype by environment interaction to the total variation in tuber yield was about 60.16, 10.72 and 12.82%, respectively. The first two principal components obtained by singular value decomposition of the centred data of yield accounted for 100% of the total variability caused by G × GE. Out of these variations, PC1 and PC2 accounted for 71.5% and 28.5% of variability, respectively. The study results identified BARI Mistialu- 5, BARI Mistialu- 14 and BARI Mistialu- 15 as the closest to the “ideal” genotype in terms of yield potential and stability. Varieties ‘BARI Mistialu- 8, BARI Mistialu- 11 and BARI Mistialu- 12’ were also selected as superior genotypes. BARI Mistialu- 3 and BARI Mistialu- 13 was comparatively low yielder but was stable over the environment. Among them BARI Mistialu-12, BARI Mistialu-14 and BARI Mistialu-15 are rich in nutrient content while BARI Mistialu-8 and BARI Mistialu-11 are the best with dry matter content and organoleptic taste. Environments representing in 1st and 3rd year with comparatively short vectors had a low discriminating power and environment in 2nd year was characterized by a high discriminating power. Bangladesh J. Agril. Res. 44(3): 501-512, September 2019

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Application of physiological understanding in soybean improvement. I. Understanding phenological constraints to adaptation and yield potential

Crop and Pasture Science ◽

10.1071/cp10289 ◽

2011 ◽

Vol 62 (1) ◽

pp. 1 ◽

Cited By ~ 15

Author(s):

R. J. Lawn ◽

A. T. James

Keyword(s):

Seed Yield ◽

Environmental Control ◽

Thermal Environment ◽

Sowing Date ◽

Companion Paper ◽

Interaction Effects ◽

Yield Potential ◽

Environment Interaction ◽

Sowing Dates ◽

Eastern Australia

The purpose of this paper and its companion1 is to describe how, in eastern Australia, soybean improvement, in terms of both breeding and agronomy, has been informed and influenced over the past four decades by physiological understanding of the environmental control of phenology. This first paper describes how initial attempts to grow soybean in eastern Australia, using varieties and production practices from the southern USA, met with limited success due to large variety × environment interaction effects on seed yield. In particular, there were large variety × location, variety × sowing date, and variety × sowing date × density effects. These various interaction effects were ultimately explained in terms of the effects of photo-thermal environment on the phenology of different varieties, and the consequences for radiation interception, dry matter production, harvest index, and seed yield. This knowledge enabled the formulation of agronomic practices to optimise sowing date and planting arrangement to suit particular varieties, and underpinned the establishment of commercial production in south-eastern Queensland in the early 1970s. It also influenced the establishment and operation over the next three decades of several separate breeding programs, each targeting phenological adaptation to specific latitudinal regions of eastern Australia. This paper also describes how physiological developments internationally, particularly the discovery of the long juvenile trait and to a lesser extent the semi-dwarf ideotype, subsequently enabled an approach to be conceived for broadening the phenological adaptation of soybeans across latitudes and sowing dates. The application of this approach, and its outcomes in terms of varietal improvement, agronomic management, and the structure of the breeding program, are described in the companion paper.

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Evaluating Genotype × Environment Interactions of Yield Traits and Adaptability in Rice Cultivars Grown under Temperate, Subtropical and Tropical Environments

Agriculture ◽

10.3390/agriculture11060558 ◽

2021 ◽

Vol 11 (6) ◽

pp. 558

Author(s):

Xing Huang ◽

Su Jang ◽

Backki Kim ◽

Zhongze Piao ◽

Edilberto Redona ◽

...

Keyword(s):

Yield Component ◽

Yield Potential ◽

High Yield ◽

Environment Interaction ◽

Accurate Identification ◽

Rice Varieties ◽

Panicle Number ◽

Tropical Conditions ◽

Component Traits ◽

Yield Component Traits

Rice yield is a complex trait that is strongly affected by environment and genotype × environment interaction (GEI) effects. Consideration of GEI in diverse environments facilitates the accurate identification of optimal genotypes with high yield performance, which are adaptable to specific or diverse environments. In this study, multiple environment trials were conducted to evaluate grain yield (GY) and four yield-component traits: panicle length, panicle number, spikelet number per panicle, and thousand-grain weight. Eighty-nine rice varieties were cultivated in temperate, subtropical, and tropical regions for two years. The effects of both GEI (12.4–19.6%) and environment (23.6–69.6%) significantly contributed to the variation of all yield-component traits. In addition, 37.1% of GY variation was explained by GEI, indicating that GY performance was strongly affected by the different environmental conditions. GY performance and genotype stability were evaluated using simultaneous selection indexing, and 19 desirable genotypes were identified with high productivity and broad adaptability across temperate, subtropical, and tropical conditions. These optimal genotypes could be recommended for cultivation and as elite parents for rice breeding programs to improve yield potential and general adaptability to climates.

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Genotype x Environment Interaction and Yield Stability of Several Yield Components Among Adapted Rice Cultivars in West Sumatra

Zuriat ◽

10.24198/zuriat.v18i2.6699 ◽

2015 ◽

Vol 18 (2) ◽

Author(s):

Aslim Rasyad ◽

Azwir Anhar

Keyword(s):

Grain Yield ◽

Yield Components ◽

Oryza Sativa L ◽

Environment Interaction ◽

Ge Interaction ◽

Genotype By Environment ◽

West Sumatra ◽

Commercial Purpose ◽

1000 Grain Weight ◽

Interaction Variance

Genotype by environment (GE) interaction and genotype stability of a trait in rice (Oryza sativa L.) are very important for plant breeders in making decision regarding the development and evaluation of new cultivars as well as for farmers in selecting suitable cultivars to be planted for commercial purpose. Yield components including panicles number plant–1, number of grains panicle–1, 1000-grain weight, and grain yield of five locally adapted cultivars of rice were evaluated at three locations in West Sumatera. The data were used to determine GE interaction variance components and stability of the traits. There were significant effects of locations on yield and some yield components except number of panicles plant–1. The cultivars differed significantly in all yield components but not in grain yield. The influence of GE interaction was highly significant on all yield components and grain yield. The magnitude of GE interaction variance component was greater than that of location for all traits. These data suggested that genotypes performed differently among the locations and were not stable with respect to the locations, so that farmers should select a suitable cultivar to be grown in the area of production.

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Stress-resilient maize for climate-vulnerable ecologies in the Asian tropics

Australian Journal of Crop Science ◽

10.21475/ajcs.20.14.08.p2405 ◽

2020 ◽

pp. 1264-1274

Author(s):

P.H. Zaidi ◽

Thanh Nguyen ◽

Dang N. Ha ◽

Suriphat Thaitad ◽

Salahuddin Ahmed ◽

...

Keyword(s):

Climate Change ◽

Agricultural Research ◽

Weather Conditions ◽

Climatic Conditions ◽

Yield Potential ◽

Specific Situation ◽

Environment Interaction ◽

Maize Germplasm ◽

Growing Conditions ◽

Variable Weather

Most parts of the Asian tropics are hotspots of climate change effects and associated weather variabilities. One of the major challenges with climate change is the uncertainty and inter-annual variability in weather conditions as crops are frequently exposed to different weather extremes within the same season. Therefore, agricultural research must strive to develop new crop varieties with inbuilt resilience towards variable weather conditions rather than merely tolerance to individual stresses in a specific situation and/or at a specific crop stage. C4 crops are known for their wider adaptation to range of climatic conditions. However, recent climatic trends and associated variabilities seem to be challenging the threshold limit of wider adaptability of even C4 crops like maize. In collaboration with national programs and private sector partners in the region, CIMMYT-Asia maize program initiated research for development (R4D) projects largely focusing on saving achievable yields across range of variable environments by incorporating reasonable levels of tolerance/resistance to major abiotic and biotic stresses without compromising on grain yields under optimal growing conditions. By integrating novel breeding tools like - genomics, double haploid (DH) technology, precision phenotyping and reducing genotype × environment interaction effects, a new generation of maize germplasm with multiple stress tolerance that can grow well across variable weather conditions were developed. The new maize germplasm were targeted for stress-prone environments where maize is invariability exposed to a range of sub-optimal growing conditions, such as drought, heat, waterlogging and various virulent diseases. The overarching goal of the stress-resilient maize program has been to achieve yield potential with a downside risk reduction.

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Contribution of Wild Relatives to Durum Wheat (Triticum turgidum subsp. durum) Yield Stability across Contrasted Environments

Agronomy ◽

10.3390/agronomy11101992 ◽

2021 ◽

Vol 11 (10) ◽

pp. 1992

Author(s):

Hafid Aberkane ◽

Ahmed Amri ◽

Bouchra Belkadi ◽

Abdelkarim Filali-Maltouf ◽

Jan Valkoun ◽

...

Keyword(s):

Durum Wheat ◽

Triticum Turgidum ◽

Wild Relatives ◽

Yield Stability ◽

Yield Potential ◽

High Yield ◽

Interspecific Crosses ◽

Aegilops Speltoides ◽

Recurrent Parent ◽

Environment Interaction

Durum wheat (Triticum turgidum subsp. durum) is mostly grown in Mediterranean type environments, characterized by unpredictable rainfall amounts and distribution, heat stress, and prevalence of major diseases and pests, all to be exacerbated with climate change. Pre-breeding efforts transgressing adaptive genes from wild relatives need to be strengthened to overcome these abiotic and biotic challenges. In this study, we evaluated the yield stability of 67 lines issued from interspecific crosses of Cham5 and Haurani with Triticum dicoccoides, T. agilopoides, T. urartu, and Aegilops speltoides, grown under 15 contrasting rainfed and irrigated environments in Morocco, and heat-prone conditions in Sudan. Yield stability was assessed using parametric (univariate (e.g., Bi, S2di, Pi etc) and multivariate (ASV, SIPC)) and non-parametric (Si1, Si2, Si3 and Si6) approaches. The combined analysis of variance showed the highly significant effects of genotypes, environments, and genotype-by-environment interaction (GEI). The environments varied in yield (1370–6468 kg/ha), heritability (0.08–0.9), and in their contribution to the GEI. Several lines derived from the four wild parents combined productivity and stability, making them suitable for unpredictable climatic conditions. A significant advantage in yield and stability was observed in Haurani derivatives compared to their recurrent parent. Furthermore, no yield penalty was observed in many of Cham5 derivatives; they had improved yield under unfavorable environments while maintaining the high yield potential from the recurrent parent (e.g., 142,026 and 142,074). It was found that a limited number of backcrosses can produce high yielding/stable germplasm while increasing diversity in a breeding pipeline. Comparing different stability approaches showed that some of them can be used interchangeably; others can be complementary to combine broad adaption with higher yield.

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