Performance and Stability of Different Monoecious Hemp Cultivars in a Multi-Environments Trial in North-Eastern Italy

The seed yield in hemp (Cannabis sativa L.) is strongly influenced, besides by genotype, by environment and the genotype x environment interaction, so establishing the fitness and stability of hemp cultivars in multiple environments is necessary. The purpose of this study was to investigate the performance and degree of stability and variance of seed yield, the main related traits, and the correlation among the traits in five hemp monoecious cultivars cultivated in six different environments. The environments resulted from the combination of four locations, two years, and two delayed sowings in a Mediterranean area of north-eastern Italy, and the stability index of the weighted average of absolute scores (WAAS) was used in order to identify the most productive and stable genotypes on the basis of their deviation from the average performance across environments. In this studied area, early varieties, such as Fedora and Felina, proved to be the best performing and stable for seed yield and both increased their yield in correspondence to delayed sowing times, opening up the possibility of cultivating hemp as a second crop. Among the climate parameters, high temperatures during the early grain filling period led to a progressive decrease in seed yield. For a dual-purpose crop, a good compromise could be a late monoecious cultivar (like Futura, in the present experiment), which, if sown early, could certainly provide notable biomass production and acceptable seed yield.

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Effective Seed Yield and Flowering Synchrony of Parents of CIMMYT Three-Way-Cross Tropical Maize Hybrids

Agriculture ◽

10.3390/agriculture11020161 ◽

2021 ◽

Vol 11 (2) ◽

pp. 161

Author(s):

Alberto A. Chassaigne-Ricciulli ◽

Leopoldo E. Mendoza-Onofre ◽

Leobigildo Córdova-Téllez ◽

Aquiles Carballo-Carballo ◽

Félix M. San Vicente-García ◽

...

Keyword(s):

Seed Production ◽

Seed Yield ◽

Grain Filling ◽

Sowing Date ◽

Planting Density ◽

Planting Dates ◽

Flowering Synchrony ◽

Sowing Dates ◽

Grain Filling Period ◽

Hybrid Maize

Genotype, environmental temperature, and agronomic management of parents influence seed yield in three-way cross hybrid maize seed production. The objective of this research was to generate information on the seed production of six three-way cross hybrids and their progenitors, adapted to tropical lowlands. Data on days to—and duration of—flowering, distance to spike and stigmas, and seed yield of five female single crosses and five male inbred lines were recorded for different combinations of four planting densities and four sowing dates in Mexico. The effect of planting density was not significant. The male inbred line T10 was the earliest and highest seed yield and T31 the latest, occupying second place in yield. The single crosses T32/T10 and T13/T14 were the earliest and had the highest effective seed yield. At the earliest sowing date, the females were later in their flowering, accumulated fewer growing degree days (GDD), and obtained higher yields since the grain-filling period coincided with hot days and cool nights. To achieve greater floral synchronization and therefore greater production of hybrid seed, differential planting dates for parents are recommended based on information from the accumulated GDD of each parent. The three-way cross hybrids were classified according to the expected seed yield of the females and the complexity in the synchronization of flowering of their parents.

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Genotype Environment Interaction in Grass Pea (Lathyrus sativusL.) Lines

International Journal of Agronomy ◽

10.1155/2009/898396 ◽

2009 ◽

Vol 2009 ◽

pp. 1-7 ◽

Cited By ~ 12

Author(s):

G. B. Polignano ◽

V. Bisignano ◽

V. Tomaselli ◽

P. Uggenti ◽

V. Alba ◽

...

Keyword(s):

Multivariate Analysis ◽

Plant Height ◽

Seed Yield ◽

Principal Components ◽

Environment Interaction ◽

Grass Pea ◽

Genotype Environment Interaction ◽

Marginal Areas ◽

Different Seasons ◽

The Stability

Eight grass pea lines grown in three different seasons were evaluated for the stability of seed yield, 100 seeds weight, flowering time, plant height, and biomass. Significant differences existed among years, lines, and lines years interaction for all traits except for 100 seeds weight. Two methods of multivariate analysis cluster and principal components were utilized to determine: firstly, whether a pattern existed among lines in their response across years and secondly to examine the relationships among them. In both analyses, each line was presented as a vector whose elements were given by the performance of lines in each year. The analyses used arranged the lines into groups that were differentiable in terms of performances and stability. Our results provide useful information to aid the choice of grass pea lines in the Mediterranean marginal areas.

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Yield Components Stability Assessment of Peas in Conventional and Low-Input Cultivation Systems

Agriculture ◽

10.3390/agriculture11090805 ◽

2021 ◽

Vol 11 (9) ◽

pp. 805

Author(s):

Vasileios Greveniotis ◽

Elisavet Bouloumpasi ◽

Stylianos Zotis ◽

Athanasios Korkovelos ◽

Constantinos G. Ipsilandis

Keyword(s):

Seed Yield ◽

Stability Index ◽

Farming Systems ◽

Farming System ◽

Genotype By Environment Interaction ◽

Environment Interaction ◽

Low Input ◽

Cultivation Systems ◽

Biplot Analysis ◽

Stable Performance

The primary purpose of this study was to explore yield stability of pea (Pisum sativum L.) cultivars based on stability index, with specific aim at studying cultivar behavior regarding yield of peas under both conventional and low-input cultivation systems. Five cultivars of peas were used in a strip-plot design. Correlations showed a significant positive relation between seed yield and some other traits. Indirect seed yield improvement may be implemented by improving pod length, which generally showed high stability indices in Greek mega-environment. Comparisons between conventional and low-input farming systems generally did not affect stability estimations, but revealed cultivars that exhibited stable performance, even in low-input farming systems. The additive main effects and multiplicative interaction (AMMI) biplot analysis, genotype by environment interaction (GGE) biplot analysis and analysis of variance (ANOVA) showed statistically significant differences between genotypes and environments, and also the farming system. This way, we have certain cultivars of peas to recommend for specific areas and farming system, in order to achieve the most stable performance. Vermio proved to be a stable cultivar for seed yield performance, in Giannitsa, Trikala and Kalambaka area, in low-inputs farming systems, while Olympos was the best in Florina area and low-input farming.

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Exploring the Phenotypic Stability of Soybean Seed Compositions Using Multi-Trait Stability Index Approach

Agronomy ◽

10.3390/agronomy11112200 ◽

2021 ◽

Vol 11 (11) ◽

pp. 2200

Author(s):

Ahmed M. Abdelghany ◽

Shengrui Zhang ◽

Muhammad Azam ◽

Abdulwahab S. Shaibu ◽

Yue Feng ◽

...

Keyword(s):

Protein Content ◽

Oil Content ◽

Soybean Seed ◽

Weighted Average ◽

Stability Index ◽

Environment Interaction ◽

Quality Traits ◽

Growing Seasons ◽

Trait Stability ◽

Soybean Genotypes

In order to ensure an ongoing and long-term breeding progress of soybean, stable sources of major quality traits across multi-environments need to be identified. Here, a panel of 135 soybean genotypes was tested in three different Chinese environments, including Beijing, Anhui, and Hainan during the 2017 and 2018 growing seasons to identify stable genotypes for cultivation under varying environmental conditions. The weighted average of absolute scores biplot (WAASB) for the best linear unbiased predictions of the genotype-environment interaction and multi-trait stability index (MTSI) were utilized to determine the stability of the soybeans for seven seed composition traits viz; protein content, oil content, and five fatty acids (palmitic, stearic, oleic, linoleic, and linolenic acids). Based on the WAASB index, the following genotypes were identified as stable genotypes for some specific traits; ZDD12828 and ZDD12832 for protein content, WDD01583 and WDD03025 for oil content, ZDD23040 for palmitic acid, WDD00033 for stearic acid, ZDD23822 for oleic acid, ZDD11183 for linoleic acid, and ZDD08489 for linolenic acid. Furthermore, based on MTSI at a selection intensity of 10%, 14 soybean genotypes were selected for their average performance and stability. Overall, the MTSI was shown to be a powerful and simple tool for identifying superior genotypes in terms of both performance and stability, hence, identifying stable soybean genotypes for future breeding programs of quality traits.

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Instability of the expression of morphological and phenological descriptors to environmental variation in white oat

Semina Ciências Agrárias ◽

10.5433/1679-0359.2017v38n2p683 ◽

2017 ◽

Vol 38 (2) ◽

pp. 683

Author(s):

Jossana Santos ◽

Simone Meredith Scheffer-Basso ◽

Nadia Canali Lângaro ◽

Sandra Patussi Brammer

Keyword(s):

Environmental Changes ◽

Flag Leaf ◽

Block Design ◽

Similarity Index ◽

Stability Index ◽

Growing Season ◽

Leaf Length ◽

Environment Interaction ◽

Randomized Block Design ◽

The Stability

Morphological and phenological characters are used in the selection, breeding, and description of plant varieties with varying genotypes. The stability of these descriptors in the face of environmental changes can determine their usefulness in situations where plant varieties must be reliably identified. The objective of this study was to verify the expression of morphological and phenological descriptors and use them to distinguish between white oat cultivars (Avena sativa L.) in two growing periods. For this, five cultivars, protected and belonging to four breeders, referred to as G1, G2, G3, G4, and G5, were sown in the typical growing season in southern Brazil (autumn-winter) and outside that period (winter-spring), and grown for forty days. The experiment was established in the field, in a randomized block design replicated three times. The cultivars were evaluated for 42 descriptors (15 quantitative and 27 qualitative). Quantitative data were analyzed by analysis of variance, the comparison of averages, and multivariate analysis by generating average euclidean distances. Qualitative data were analyzed by mode determination, followed by obtaining the similarity index. The relationship between cultivars was illustrated by dendrograms. The stability index for each descriptor was calculated. A genotype x environment interaction was observed for 28 descriptors. The stability of descriptor appearance and persistence over the growing season was higher in qualitative (44%) than in quantitative (7%) descriptors. The most stable qualitative descriptors were lemma color, hairiness of the upper node, flag leaf position, hairiness of the base of the grain, basal grain length, and rachilla length. The most stable quantitative descriptor was flag leaf length. Shifting the white oat growing season from autumn-winter to winter-spring reduced the cycle and modified the expression of most descriptors by changing the phenotypic distinctness between cultivars.

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Phenotypic and Quality Traits of Chickpea Genotypes under Rainfed Conditions in South Italy

Agronomy ◽

10.3390/agronomy11050962 ◽

2021 ◽

Vol 11 (5) ◽

pp. 962

Author(s):

Mohamed Houssemeddine Sellami ◽

Antonella Lavini ◽

Cataldo Pulvento

Keyword(s):

Seed Yield ◽

Seed Quality ◽

Ratio Test ◽

Environment Interaction ◽

South Italy ◽

Legume Crop ◽

Genotype Environment Interaction ◽

The Stability ◽

Total Seed

Chickpea (Cicer arietinum L.) is an important cool-season food legume crop that is mainly cultivated as a rainfed crop. This study was conducted in Italy between 2017 and 2019 to evaluate the stability of seed yield (SY), biomass (AGB) and 1000 seed weight (THS), and to assess the seed quality of 12 kabuli chickpea accessions under field conditions. The likelihood-ratio test revealed significant effects of genotype only for the SY and THS. The environment and genotype × environment interaction (GEI) effects were highly significant for all variables. We found that the environment (year) and GEI explain 55.72% and 20.87% of the total seed yield variation, respectively. Most chickpea accessions showed sensitivity to frost conditions in the third growing season. No relationship was observed between the yield and the protein content in Kabuli chickpea. Among the accessions, Ares and Reale showed the best performance under all environmental conditions, and the Reale was the most stable chickpea.

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Genotype by Environment Interaction Effect on Grain Iron and Zinc Concentration of Indian and Mediterranean Lentil Genotypes

Agronomy ◽

10.3390/agronomy11091761 ◽

2021 ◽

Vol 11 (9) ◽

pp. 1761

Author(s):

Soma Gupta ◽

Shouvik Das ◽

Harsh Kumar Dikshit ◽

Gyan Prakash Mishra ◽

Muraleedhar S. Aski ◽

...

Keyword(s):

Zinc Concentration ◽

Selection Index ◽

Stability Index ◽

Genotype By Environment Interaction ◽

Pooled Analysis ◽

Environment Interaction ◽

Breeding Lines ◽

Genotype By Environment ◽

Iron And Zinc ◽

The Stability

Lentil grains with high nutritional value qualify as a promising candidate for alleviation of micronutrient malnutrition in South Asia and North Africa. Genetic variation for micronutrient concentration in germplasm is prerequisite for biofortification of this crop. In the present study, ninety-six lentil genotypes consisting of Indian (released varieties, advanced breeding lines and germplasm lines) and Mediterranean (germplasm lines and landraces) line were evaluated for grain iron (Fe) and zinc (Zn) concentrations and the stability of these traits was studied across three different locations in India. The pooled analysis of variance revealed significant genotype, environment and genotype by environment interaction (GEI) mean squares for both the micronutrients. Stability analysis employing the AMMI model elucidated the first two interaction principal components as significant and cumulatively explained 100% of GEI variation. The first two components explained 55.9% and 44.1% of the GEI sum of squares for grain iron and 50.8% and 49.2% for grain zinc concentration, respectively. No correlation between grain iron and zinc concentration was observed. Among 96 lines, genotypes IG 49, P 16214, ILL 147 and P 2118 were found to be relatively stable, having higher mean iron and zinc concentrations with low modified AMMI stability value (MASV), modified AMMI stability index (MASI) and genotype selection index (GSI). The identified promising genotypes (high Fe: P16214, IG 115, P 2127 and IC 560812 and high Zn: P 8115, P3234, LL 461 and IC 560812) can be utilized for studying the genetics of grain Fe and Zn concentration by developing mapping populations and for biofortification of Indian lentil.

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Assessment of Genotype × Environment Interaction of Safflower (Carthamus tinctorius L.) Genotypes by Parametric and Non-Parametric Methods

European Journal of Agriculture and Food Sciences ◽

10.24018/ejfood.2021.3.1.233 ◽

2021 ◽

Vol 3 (1) ◽

pp. 112-118

Author(s):

İlhan Subaşı ◽

Dilek Başalma

Keyword(s):

Seed Yield ◽

Positive Association ◽

Stability Index ◽

Oil Yield ◽

Coefficient Of Determination ◽

Mean Deviation ◽

Environment Interaction ◽

Ge Interaction ◽

Stability Parameters ◽

Genotype Environment Interaction

Genotype-environment interaction is a significant factor for finding and selecting stable and productive varieties in safflower breeding programs. This study was conducted at three locations over two years (2016-2017) to determine the extent of genotype by environment (GE) interaction in seed and oil yield. 20 safflower lines and cultivars were evaluated in terms of stability in 3 environments. Considering the stability and performance, the most suitable genotypes were determined as Remzibey-05 and Genotype-125 in seed yield, Genotype-8 and Genotype-155 in oil yield. In terms of stability and performances of genotypes, the environment of Ikizce 2017 (E4) was prominent. Correlation analysis among parametric and nonparametric features was given only for seed yield. The following stability parameters were calculated: the coefficient of variation (CV), regression constant (ai), regression coefficient (bi), mean deviation squares from regression (S2di), coefficient of determination (Ri2), stability variance (σi2), ecovalance value (Wi), stability index (Pi) and as nonparametric stability measures Si(1) and Si(2) values. This analysis indicated that seed yield was significantly positively correlated only with Pi (P<0.01). CV showed a positively significant correlation with ai. S2di and ri2 had a positive association with Ri2, σi2, Wi, Pi, Si(1), Si(2), and between each other.

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Adaptability and stability of common bean genotypes in family farming systems

Pesquisa Agropecuária Brasileira ◽

10.1590/s0100-204x2018000200007 ◽

2018 ◽

Vol 53 (2) ◽

pp. 189-196 ◽

Cited By ~ 1

Author(s):

Patrícia Guimarães Santos Melo ◽

Renata Cristina Alvares ◽

Helton Santos Pereira ◽

Antônio Joaquim Braga Pereira Braz ◽

Luis Claudio Faria ◽

...

Keyword(s):

Common Bean ◽

Interaction Model ◽

Weighted Average ◽

Farming Systems ◽

Farming System ◽

Graphical Analysis ◽

Environment Interaction ◽

Family Farming ◽

The Stability ◽

The One

Abstract: The objective of this work was to evaluate the interaction between genotypes and environments for grain yield of common bean (Phaseolus vulgaris) lines and cultivars with potential for use in family farming systems. Data from value for cultivation and use tests, carried out in 20 environments in the state of Goiás, Brazil, were analyzed in two cycles (2007/2008 and 2009/2010) in the dry, rainy, and winter crop seasons. Each test consisted of 15 genotypes from the carioca, purple, and rosinha common bean commercial groups. The experimental design was randomized complete block, with three replicates. The methodologies used to test the stability and adaptability of the genotypes were the one of Lin & Binns, of Cruz, the additive main effects and multiplicative interaction model (AMMI) to calculate the weighted average of absolute scores and productivity (WAASP), and the GGE biplot graphical analysis. The productive performance of the common bean lines and cultivars is affected by genotype x environment interaction. The methodologies adopted allow the selection of cultivars for cropping, and of cultivars and lines for use as parents in order to obtain segregating populations for selection in a family farming system.

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Analysis of Genetic Parameters on Ethiopian Mustard (Brassica Carinata A. Braun) Genotypes in Northwestern Ethiopia

Plant Breeding and Seed Science ◽

10.1515/plass-2015-0003 ◽

2014 ◽

Vol 69 (1) ◽

pp. 25-34

Author(s):

Tesfaye Walle ◽

Adugna Wakjira ◽

Tewodros Mulualem

Keyword(s):

Plant Height ◽

Seed Yield ◽

Coefficient Of Variation ◽

Crop Improvement ◽

Grain Filling ◽

Flowering Plant ◽

Northern Ethiopia ◽

Genetic Advance ◽

Ethiopian Mustard ◽

Grain Filling Period

ABSTRACT This study was carried out with the objective to estimate the genotypic variability and other yield related traits of Ethiopian mustard in North West Ethiopia. A total of 36 genotypes of Ethiopian mustard were considered for this study. Analysis of variance was computed to contrast the variability within the collected genotypes based on yield and other yield related traits. The results revealed highly significant values(p<0.01) for days to maturity, grain filling period, number of pod per plot, secondary branches per plant, harvest index, seed yield per plot, seed yield per hectare and oil content. Significant differences (p<0.05) were noted for days to flowering, plant height, primary branch per plant, biomass per plot, oil yield per plot differences among the genotypes. Genotypic coefficient of variation (GCV %) was lower than phenotypic coefficient of variation (PCV %) for all the traits studied. High genetic advance with heritability was observed in the following characters; plant height, biomass of the plant, number of secondary branch per plant and grain filling period. There are variations in the extent of genetic variability, heritability and genetic advance of traits which can facilitate selection for further improvement of important traits of Ethiopian mustard. Therefore, it can be concluded that the variability within Ethiopian mustard genotypes collected from different areas of northern Ethiopia is high and vital for better crop improvement.

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