Using GGE Biplot Analysis to Evaluate Interrelationships between Yield and Yield Components of Oat Genotypes in Different Growing Seasons

Field experiments were conducted during the two growing seasons of 1999 and 2000 at the research farm of the Jordan University of Science and Technology (JUST) to study the effect of the time of weed removal on the yield and yield components of faba bean (Vicia faba L.). Removing weeds from 25 to 75 days after crop sowing led to significantly larger yields than on plots which were not weeded. Maximum yield was obtained in both years when weeds were removed thrice at 25, 50 and 75 days after crop sowing.

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Changes in Number and Weight of Wheat and Triticale Grains to Manipulation in Source-Sink Relationship

International Journal of Agronomy ◽

10.1155/2019/7173841 ◽

2019 ◽

Vol 2019 ◽

pp. 1-9 ◽

Cited By ~ 1

Author(s):

E. Ballesteros-Rodríguez ◽

C. G. Martínez-Rueda ◽

E. J. Morales-Rosales ◽

G. Estrada-Campuzano ◽

G. F. González

Keyword(s):

Yield Components ◽

Genetic Improvement ◽

Wheat Cultivar ◽

Experimental Manipulation ◽

Grain Weight ◽

Agricultural Technology ◽

Growing Seasons ◽

Yield And Yield Components ◽

The Individual ◽

Source Sink

The source-sink ratio experimental manipulation has helped to define whether a crop is limited by source or sink or co-limited by both. There is no evidence in triticale of source-sink manipulations effects on yield and yield components. Two experiments were accomplished during 2008 and 2009 growing seasons at the Universidad Autónoma del Estado de México, México, and one in 2010 at the National Institute of Agricultural Technology in Pergamino, Argentina. Two triticale cultivars (line 4 and 7) and one wheat cultivar (Tollocan) were used. Source-sink relations were modified at anthesis by thinning, degraining, shading, and total defoliation procedures. Changes in the source-sink relation affected yields in both species differentially. The changes in yield due to cultivars and treatments were explained mainly by the number of grains rather than by their individual grain weight. The number of grains was affected by all treatments in both species, while the individual grain weight was increased by thinning and degraining mainly in triticale. A greater number of fertile florets in triticale were associated with their higher rate of abortion compared to wheat. These results could help to better understand crop management and genetic improvement.

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RESPONSE OF SOYBEAN TO LOWER-CANOPY DEFOLIATION DURING SEEDFILL

Canadian Journal of Plant Science ◽

10.4141/cjps89-003 ◽

1989 ◽

Vol 69 (1) ◽

pp. 17-22 ◽

Cited By ~ 7

Author(s):

B. L. VASILAS ◽

J. FUHRMANN ◽

L. E. GRAY

Keyword(s):

Yield Components ◽

Field Experiments ◽

Total Yield ◽

Brown Spot ◽

Yield Losses ◽

Growing Seasons ◽

Naturally Occurring ◽

Yield And Yield Components ◽

Yield Responses ◽

Pod Number

One of the effects of Septoria brown spot on soybean is accelerated lower-canopy defoliation. Field experiments were conducted in 1986 and 1987 to determine the response of soybean yield and yield components to progressive lower-canopy defoliation during seedfill. Soybean cultivar Williams 82 was machine planted in rows 76 cm wide and hand thinned to a uniform stand of 23 plants m−1. Three treatments were used: controls; defoliated, starting at R5 (beginning seed stage; DEF1), and defoliated, starting 7 d past R5 (DEF2). Defoliation treatments were applied by removing the leaflets and petioles from the lowest three or four leaf-bearing nodes four times at 4-d intervals so that only three or four nodes at the top of the plant remained leaf-bearing when defoliation ceased. Yield and yield components were determined for upper, lower and total nodes. Although the two growing seasons were very different, yield responses to defoliation were similar in both years. On the average, DEF1 reduced seed yield by 18% which is similar to losses that occur when brown spot is induced by inoculation; DEF2 reduced yields by 9% which is similar to yield losses reported for naturally occurring brown spot. Yields of DEF2 exceeded yields of DEF1 because of differences in pod number in 1986 and seeds/pod in 1987. Controls out-yielded DEF2 because of differences in seeds/pod in 1986 and seed size in 1987. The proportion of the total yield contributed by pods found on the upper nodes averaged 76% and was not affected by defoliation.Key words: Glycine max, Septoria glycines, brown spot, leaf loss

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Evaluation of yield and yield components of some groundnut genotypes under rainfed condition in Mali using biplot analysis

African Journal of Agricultural Research ◽

10.5897/ajar2018.13776 ◽

2019 ◽

Vol 14 (34) ◽

pp. 1904-1912

Author(s):

Sanogo Ousmane ◽

B. Tongoona Pangirayi ◽

Ofori Kwadwo ◽

K. Offei Samuel ◽

Desmae Haile

Keyword(s):

Yield Components ◽

Rainfed Condition ◽

Biplot Analysis ◽

Yield And Yield Components

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Stability of the expression of the maize productivity parameters by AMMI models and GGE-biplot analysis

Notulae Botanicae Horti Agrobotanici Cluj-Napoca ◽

10.15835/nbha48312058 ◽

2020 ◽

Vol 48 (3) ◽

pp. 1387-1397 ◽

Cited By ~ 1

Author(s):

Dragan BOŽOVIĆ ◽

Vera POPOVIĆ ◽

Vera RAJIČIĆ ◽

Marko KOSTIĆ ◽

Vladimir FILIPOVIĆ ◽

...

Keyword(s):

Total Variation ◽

Phenotypic Variance ◽

Gge Biplot ◽

Total Phenotypic Variance ◽

Maize Productivity ◽

Biplot Analysis ◽

Growing Seasons ◽

Maize Genotypes ◽

Ammi Model

The objective of this study was to estimate genotype by locality, by year, by treatments (G×LxYxT) interaction using AMMI model, to identify maize genotypes with stable number of rows of grains performance in different growing seasons. The trials conducted with seven maize lines/genotypes, four treatments, two years and at the two locations. The results showed that the influence of genotype (G), year (Y), locality (L), and G×L, G×T, G×L×T, G×Y×T, G×Y×L×T interaction on maize number of rows of grains were significant (p<0.01). The genotype share in the total phenotypic variance for the grains number rows of was 53.50%, and the interaction was 21.15%. The results also show that the sums of the squares of the first and second major components (PC1 and PC2) constitute 100% of the sum of the squares of the interaction G×L. The first PC1 axis belongs to all 100%, which points to the significance of the genotype in the total variation and significance of the genotype for overall interaction with other observed sources of variability. The highest stability in terms of expression of the grains number of rows had the genotype L-6, followed by the genotypes L-4, L-5 and L-3. The lowest stability was demonstrated by the genotypes L-2 and L-1, which confirmed that these genotypes are not important for further selection in terms of this trait.

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Effect of Striga hermonthica (Del.) Benth on Yield and Yield Components of Maize (Zea mays L.) Hybrids in Western Kenya

Journal of Agricultural Science ◽

10.5539/jas.v8n8p112 ◽

2016 ◽

Vol 8 (8) ◽

pp. 112

Author(s):

Peter Okoth Mbogo ◽

Mathews Mito Dida ◽

Barrack Owuor

Keyword(s):

Zea Mays ◽

Yield Components ◽

Cultural Practices ◽

Striga Hermonthica ◽

Management Options ◽

Western Kenya ◽

Maize Hybrids ◽

Grain Yields ◽

Growing Seasons ◽

Yield And Yield Components

Striga hermonthica (Striga) weed is widespread in Kenya, where it causes significant cereal crop losses, particularly when susceptible varieties are grown. The use of maize (Zea mays L.) genotypes that support reduced Striga hermonthica emergence can form an important basis for developing resistant cultivars. The objective of this study was to evaluate the response of diverse maize hybrids to Striga weed infestation and to identify high yielding and stable hybrids. Six experimental maize hybrids and three commercial hybrid checks (DK8031, PhB3253 and H513) were evaluated under Striga and Striga free conditions at Nyahera and Maseno in western Kenya in 2011 and 2012 growing seasons. The data collected included grain yields and other yield components; emerged Striga counts and Striga damage rating (on a scale of 1-5) at 8 and 10 weeks after planting (WAP). Significant differences (P < 0.05) were observed in grain yield and yield components; emerged Striga counts and Striga damage syndrome in both years. Negative correlation (r) was observed between emerged Striga and yield as well as between Striga damage ratings and yield. Maseno experimental hybrids produced much better grain yields and were more stable compared to commercial varieties under Striga infestation and in Striga free fields. Deployment of the tolerant/resistant high yielding well adapted hybrids coupled with other management options such as rotation with legumes and cultural practices could possibly help in depletion of Striga seed bank in the soils in western Kenya. EH12 and EH14 maize hybrids were formally released for commercialization in the Striga endemic areas of western Kenya.

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Potato (Solanum tuberosum L.) Tuber Yield and Yield Components as Influenced by Different Levels of Nitrogen, Phosphorus and Potassium in Rwanda

Agricultural Science Digest - A Research Journal ◽

10.18805/ag.d-155 ◽

2019 ◽

Vol 39 (03) ◽

Author(s):

Adrien Turamyenyirijuru ◽

Guillaume Nyagatare ◽

Robert Morwani Gesimba ◽

Rhoda Jerop Birech

Keyword(s):

Yield Components ◽

Field Experiments ◽

Tuber Yield ◽

Solanum Tuberosum L ◽

Block Design ◽

Yield Potential ◽

Ecological Zones ◽

Growing Seasons ◽

Yield And Yield Components ◽

Phosphorus And Potassium

Despite potato yield potential, its intensification level remain low in Rwanda, translating into low yield occasioned mainly by the decline in soil fertility. Field experiments were conducted in Birunga, Mudende [L1]) and Buberuka, Rwerere [L2] highlands Agro-Ecological Zones (AEZs), during September- December 2016 and March-June 2017 crop growing seasons to determine the effects of varying rates of N, P and K on potato tuber yield and yield components. The experiments were laid out using randomized complete block design with factorial arrangement, with four replicates. Factors were N rates (NX) i.e N1-0 kg ha-1, N2 – 50 kg ha-1, N3 – 100 kg ha-1 ; P2O5 rates (PX) i.e P1-0 kg ha-1, P2 – 50 kg ha-1, P3 – 100 kg ha-1and K2O rates (Kx) i.e K1- 0 kg ha1and K2- 50 kg ha-1. Number of tubers per plant, fresh tuber weight, small tuber yield, medium tuber yield, large tuber yield and total tuber yield were measured. Analysis of variance, performed using SAS-version 9.2, revealed that interaction effects of N×P×K were very highly significant on all parameters. Generally, N3×P3×K2 performed better than other treatments and recorded highest tuber yields in all situations: (32.73 ± 0.43) t ha-1[L1] and (29.36 ± 0.41) t ha-1 [L2] and (31.05 ± 0.52) t ha-1for pooled ANOVA. Contrarily to what happened at L2, N3P3K2 andN2P3K2 were not significantly different at L1. N2P3 K2 is recommended to L1 whereas N3P3K2 is recommended to L2.

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