Herbage Yield of Lablab (Lablab purpureus L. Sweet) as Influenced by Phosphorus Application, Cutting Height and Age in a Semi-Arid Environment, Nigeria

Ogedegbe, S.A.; Ogunlela, V. B.; Olufajo, O. O.; Odion, E. C.

doi:10.3923/ijar.2011.789.797

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…The most extensive yield advantages over the standard checks, Beresa-55 and Gebisa-17, are shared by two genotypes, 11620 and 14486, with yield advantages of 129.9% and 61.2%, respectively. The current study's conclusion is consistent with Ogedegbe et al (2011) earlier report, which stated that the maximum dry matter yield ever recorded was 10.2 t/ha. Muir (2002) also noted that rainfall significantly influences the dry matter yields of warm-season legumes.…”

Section: Composite Agronomic Trait Performances Of the Genotypessupporting

confidence: 93%

Evaluation of Genotypes With Environmental Interactions of Lablab (Purpureus L.) and It's Dry Matter Yields Stability in the Midland of Guji Zone, Southern Oromia, Ethiopia

2023

BJMSR

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Animal feed is one of the main challenges livestock producers face due to inadequate nutrition, particularly during the dry season. This study aimed to identify the Lablab genotype's performance in different midlands areas of Guji zones. A 3mx2m plot was used to seed twelve Lablab purpureus genotypes obtained from the International Livestock Research Institute Gene Bank and a tick-registered variety from the Bako Agricultural Research Centre. During the main cropping rainy season in 2021-2022, three locations, Dufa, Gobicha, and Kiltu sorsa, Adola subsite, and on farms in two (2) consecutive years, respectively, were studied using randomized complete block designs (RCBD) with three replications. Information was gathered regarding the establishment, duration of various physiological stages, dry matter yield of fodder, chemical compositions, and additional relevant factors. AMMI and the SAS statistical analysis programmer, version (2002), were used to analyse variance in the gathered data. The list significant difference test was used to compare the means. The AMMI analysis of variance for forage dry matter yield showed substantial (P<0.01) variations in genotype and environment but not in the effects of the G x E interaction. The representative testing site and the testing conditions (Adola Woyu and Kiltu sorsa) were quite good at differentiating genotypes. The combined analysis of the data revealed non-significant (P>0.05) differences for plant height and thousand seed weight but significant (P ≤ 0.05) differences for days to flowering, days to maturity, number of branches, leaf to steam ratio, number of pods, and number of seeds across the tested environments. The results showed that, out of all the examined locations, G-11620 (15.43 t/ha) and G-14486 (11.12 t/ha) had the highest forage dry matter production. It was observed that the leaf-to-steam ratio was higher in both G-11486 and G-11620. All chemical compositions across the tested genotypes were found to be significantly different (p ≤ 0.05) among parameters, except DOMD and IVDMD, which did not show significant (p >0.05) variations among genotypes. The recorded CP content ranged from 21.15% for G-14486 to 23.50% for G-11620, with the lowest value coming from typical cheek Gabis at 10.8%. The highest and the lowest NDFs were recorded from G-11620 (11.2%) and Gabis (22.23%), respectively. Generally, the mean performance, yield and stability of the G-11620 and G-14486 were high and stable across the tested locations. Therefore, genotypes (G-14486 and G-11620) were promoted to variety verification for further evaluation and possible release.

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Section: Composite Agronomic Trait Performances Of the Genotypessupporting

confidence: 93%

Evaluation of Genotypes With Environmental Interactions of Lablab (Purpureus L.) and It's Dry Matter Yields Stability in the Midland of Guji Zone, Southern Oromia, Ethiopia

2023

BJMSR

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“…Two genotypes (T6 and T8) have the highest yield advantage 72.1% and 62.2% over that of the standard check (Gebisa) respectively. The result of the present study is in line with the previous repot ofOgedegbe et al (2011) where the highest reported dry yield was 10.2 t/ha Muir (2002). also reported that dry matter yields of legumes in warm-season legumes are largely dependent on rainfall.…”

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confidence: 93%

Evaluation of Lablab (Lablab purpureus L.) genotypes for Fodder production and their Nutritive Values for low lands of Southwest Ethiopia

Aleme

Mengistu

Tulu

et al. 2022

Preprint

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The study was conducted to evaluate thirteen pre-screened lablab purpureus (L) genotypes out of ninety eight genotypes that introduced from ILRI Addis Ababa, Ethiopia for their potentials on dry matter and forage yield and also chemical compositions and in-vitro dry matter digestibility under lowland conditions of South West Ethiopia. The experiment was performed in three locations for two consecutive years during 2018–2019 and 2020–2021 cropping season. It performed by using completely randomized block design with three replications and analyzed by using SAS software version 9.3. Dry matter yield was significant (p < 0.001) whereas, seed yield was not significant (p > 0.05) among the genotypes. The second level interaction effect genotype-year-location was not significant (p > 0.05) for both dry matter and seed yield. However, the first level genotype-location interaction effect was significant at (p < 0.001) for dry matter and (p < 0.05) for seed yield. Those show that the genotypes vary in performances across the condition of study location. Genotypes indicated in T6 and T8 were better yield advantage for dry matter and seed yield with 72.1% and 21.1% and also 62.2% and 8.9% over the standard check (Gebisa) respectively. The stability of genotypes was estimated using the mean yield of genotypes (xi), regressing coefficient (bi) and regression deviation mean square (s2di). Stability analysis shows that even though the better stable genotypes are 11613 and 10953 genotypes in terms of dry matter yield, 11619 and 14459 were the most stable in terms of seed yield. These suggest that better performed and stabile genotypes need to be further evaluated on live animal performance through feeding trials including other agronomic activities for better production and productivity.

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“…In addition, medium-level yield of 2.4 to 7.1 t/ha −1 reported by [30,31] might be due to variations in genotype and other related factors. e present study that obtained an inline value of dry matter yield with the previous report [32] was recorded with the highest yield of 10.2 t/ha Ogedegbe et al [33] reported that dry matter yield in warm season legumes was largely dependent on rainfall.…”

Section: Dry Matter Yieldsupporting

confidence: 79%

Performance Evaluation of Lablab Genotypes across Various Locations of Ethiopia

Aleme

2022

Advances in Agriculture

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This study was conducted evaluate the performance of Lablab genotypes across various locations of Ethiopia. Twelve accessions of L. purpureus obtained from ILRI Genebank and a check registered variety from Bako Agricultural Research Center were sown under a 3 × 13 factorial experiment in a randomized complete block design (RCBD) during the rainy season in 2020, across three locations, namely Tepi, Bechi, and Kite sites of South West Ethiopia. The data were collected on the establishment, days to different physiological stages, forage yields, soil properties, and other related parameters. The data were subjected to analysis of variance using the general linear model of SAS and mean comparison via list significance difference test. A significant difference ( p ≤ 0.01 ) was observed across locations for most of the studied agronomic traits. The highest average dry matter (DM) forage yield recorded for T6 (accession 11613), T8 (acc. 10953), T5 (acc. 14417), and T4 (accession 11612) was 10.3, 8.7, 6.8, and 7.4 t/ha-1, respectively. Dry matter forage yield was positively associated and regressed with plant height and leaf-to-stem ratio. Lablab accessions are well adapted to the ecology tested. Lablab could also be produced in these locations without any remarkable disease problems. It is recommended that five top forage producing accessions be advanced for the next step of yield evaluation in standard multilocation. This leads to recommending best lablab accessions to be registered for the Tepi area and other similar agroecologies. Furthermore, recommended varieties should be evaluated through animal performance through feeding trials. Refining the main agronomic practice such as time of sowing, application of fertilizer, harvesting time, identifying best food crop-lablab integration methods, and feeding strategies is also vital to address in the future.

show abstract

Herbage Yield of Lablab (Lablab purpureus L. Sweet) as Influenced by Phosphorus Application, Cutting Height and Age in a Semi-Arid Environment, Nigeria

Cited by 4 publications

References 7 publications

Evaluation of Genotypes With Environmental Interactions of Lablab (Purpureus L.) and It's Dry Matter Yields Stability in the Midland of Guji Zone, Southern Oromia, Ethiopia

Evaluation of Genotypes With Environmental Interactions of Lablab (Purpureus L.) and It's Dry Matter Yields Stability in the Midland of Guji Zone, Southern Oromia, Ethiopia

Evaluation of Lablab (Lablab purpureus L.) genotypes for Fodder production and their Nutritive Values for low lands of Southwest Ethiopia

Performance Evaluation of Lablab Genotypes across Various Locations of Ethiopia

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