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<title>Crop and Horticultural Sciences</title>
<link>http://hdl.handle.net/123456789/1807</link>
<description/>
<items>
<rdf:Seq>
<rdf:li rdf:resource="http://hdl.handle.net/123456789/1891"/>
<rdf:li rdf:resource="http://hdl.handle.net/123456789/1889"/>
<rdf:li rdf:resource="http://hdl.handle.net/123456789/1887"/>
<rdf:li rdf:resource="http://hdl.handle.net/123456789/1809"/>
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<dc:date>2026-04-04T08:42:02Z</dc:date>
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<item rdf:about="http://hdl.handle.net/123456789/1891">
<title>GENETIC VARIABILITY AND ASSOCIATION MAPPING FOR YIELD AND YIELD-RELATED TRAITS IN AFRICAN YAM BEAN [Sphenostylis stenocarpa (Hochst ex. A. Rich) Harms]</title>
<link>http://hdl.handle.net/123456789/1891</link>
<description>GENETIC VARIABILITY AND ASSOCIATION MAPPING FOR YIELD AND YIELD-RELATED TRAITS IN AFRICAN YAM BEAN [Sphenostylis stenocarpa (Hochst ex. A. Rich) Harms]
OLOMITUTU, Oluwaseyi Emmanuel
African Yam Bean (AYB) is an underutilised legume producing tubers and seeds&#13;
rich in dietary proteins and minerals, but its Seed Yield (SY) is low. Landraces of AYB&#13;
are repositories for potential beneficial alleles for the development of varieties with&#13;
enhanced yield and qualities. However, limited information is available on the extent of&#13;
genetic variation within available AYB landraces, the genetic basis of the variations and&#13;
relative importance of SY-related traits, which are required for the development of&#13;
varieties with improved SY and agronomic characteristics. Hence, genetic variability&#13;
among some AYB accessions for SY and association of genomic regions with the yieldrelated traits were assessed.&#13;
One hundred and ninety-six AYB accessions were evaluated for two years at&#13;
Ibadan, Kano and Ubiaja following standard practices. The experimental design was&#13;
14×14 lattice with three replicates. Data were collected on Days to Pod Maturity (DPM),&#13;
Pod Weight (PDW), Pod Length (PL), Seed Length (SL), Shelling Percentage (SP), 100-&#13;
Seed Weight (HSW), Seeds Per Pod (SPP) and Seed Thickness (ST), while SY was&#13;
estimated. Data were subjected to principal component analysis, cluster analysis,&#13;
correlation analysis, path coefficient analysis, descriptive statistics and ANOVA at α0.05.&#13;
Estimates of variance components, Genotypic Coefficient of Variation (GCV),&#13;
Phenotypic Coefficient of Variation (PCV) and broad-sense heritability were computed&#13;
for the traits. Yield stability index was used to identify superior and stable accessions.&#13;
The 196 accessions were genotyped using 5,416 DArTseq-based Single Nucleotide&#13;
Polymorphism (SNP) markers, from which 2,491 markers and 195 accessions were&#13;
retained after quality filtering. Marker-trait associations were determined using the mixed&#13;
linear model.&#13;
Accessions, environments and accession×environment interaction effects were&#13;
significant for all the traits. The DPM ranged from 118.5±14.3 (TSs-8, Ubiaja) to&#13;
220.0±6.0 (TSs-59, Kano), PW ranged from 4.2±0.3 g/plant (138A, Kano) to122.7±17.6&#13;
(TSs-421, Ibadan), while PL was shortest in accession TSs-22B (12.0±1.3 cm, Kano) and&#13;
longest in TSs-51 (27.3±0.6 cm, Ibadan). The SY ranged from 1.3±0.1 (TSs-326, Kano)&#13;
to 77.6±10.4 g/plant (TSs-421, Ibadan). Variances due to environment and&#13;
accession×environment interaction were higher than the genotypic variance for all the&#13;
traits. Also, estimates of PCV were higher than GCV for all traits. Broad-sense heritability&#13;
ranged from 17.1±3.5% (DPM) to 66.4±0.2% (SL). The first three principal components&#13;
accounted for 59.7% of the total variation among the accessions. Five major clusters were&#13;
delineated based on phenotypic characteristics. Shelling percentage (rg=0.76), 100-SW&#13;
(rg=0.29), DPM (rg=0.45), PW (rg=0.89), SPP (rg=0.20) and ST (rg=0.41) had significant&#13;
genetic correlations with SY, and exhibited positive direct effects on SY. Accessions TSs-&#13;
119, TSs-101, 138A, TSs-4, TSs-157A and TSs-61 were identified as superior and stable.&#13;
Across locations, 24 SNP markers were significantly associated with the traits at a&#13;
threshold of –log (p) =4, and explained 7.1 to 12.8% of the phenotypic variation among&#13;
the accessions.&#13;
A wide genetic variation exists among the African yam bean accessions. Selection&#13;
criteria for improved seed yield in African yam bean should include shelling percentage,&#13;
100-seed weight, days to pod maturity, pod weight, seeds per pod and seed thickness.
</description>
<dc:date>2023-07-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://hdl.handle.net/123456789/1889">
<title>GENETIC ANALYSIS AND DROUGHT STRESS ASSESSMENT OF MARKER-BASED IMPROVED PROVITAMIN-A MAIZE SYNTHETICS</title>
<link>http://hdl.handle.net/123456789/1889</link>
<description>GENETIC ANALYSIS AND DROUGHT STRESS ASSESSMENT OF MARKER-BASED IMPROVED PROVITAMIN-A MAIZE SYNTHETICS
ISEGHOHI, Osemare Innocent
Maize is an important staple in Sub-Saharan Africa (SSA) but most varieties are low in&#13;
Provitamin-A (PVA) carotenoids, and the performance adversely affected by drought&#13;
stress. Development and adoption of PVA carotenoids-enriched drought-tolerant&#13;
Maize Synthetics (MS) could help improve maize yields and reduce vitamin A&#13;
deficiency in SSA. Marker Assisted Recurrent Selection (MARS) could be used to&#13;
improve the nutritional quality and resilience of maize. However, the effects of MARS&#13;
on carotenoid contents of MS and performance of the PVA carotenoids-enriched MS&#13;
in hybrid combinations and under drought stress have not been adequately&#13;
documented. The level of improvement of carotenoid content of MS using MARS,&#13;
combining ability and effects of drought stress on yield of PVA carotenoids-enriched&#13;
MS were evaluated.&#13;
Three selection cycles (C0, C1 and C2) of two MS (PVASYNHGA and PVASYNHGB)&#13;
each improved through MARS were crossed to generate nine Varietal-cross Hybrids&#13;
(VH). The genotypes [selection cycles, VH and a check (PVASYN13)] were evaluated&#13;
at Ikenne, Mokwa, Saminaka and Zaria using a 4×4 lattice design with four replicates.&#13;
The genotypes were also evaluated under Managed Drought Stress (MDS) at Ikenne&#13;
following standard procedures. Days to Silking (DS), Plant Height (PH, cm) and Ear&#13;
Aspect (EA) were measured and Grain Yield (GY, t/ha) was estimated. The α-&#13;
carotene, β-cryptoxanthin and β-carotene contents (μg/g) of grains were determined&#13;
using HPLC, and PVA content (μg/g) estimated. Data were analysed using descriptive&#13;
statistics and ANOVA at α0.05. Genetic gain/cycle, Mid-parent Heterosis (MPH),&#13;
Specific Combining Ability (SCA), General Combining Ability (GCA) and Drought&#13;
Tolerance Index (DTI, where DTI of 0–0.49=low, 0.50–0.69=moderate and 0.70–&#13;
1.0=high) were estimated.&#13;
Genotype and location effects were significant for GY, DS, PH, EA and PVA&#13;
carotenoids, while genotype×location effect was significant for DS, EA, β-carotene&#13;
and PVA. The GY, DS, PH, EA, α-carotene, β-cryptoxanthin, β-carotene and PVA&#13;
ranged from 3.7±0.3 (Ikenne) to 6.4±0.4 (Mokwa), 54.4±0.8 (Mokwa) to 63.0±0.8&#13;
(Zaria), 206.4±5.9 (Ikenne) to 222.5±8.0 (Saminaka), 2.4±0.2 (Saminaka) to 2.7±0.2&#13;
(Ikenne), 0.8±0.1 (Ikenne) to 1.0±0.1 (Mokwa), 2.4±0.3 (Ikenne) to 3.3±0.4 (Mokwa),&#13;
5.1±0.3 (Ikenne) to 6.5±0.8 (Mokwa) and 6.8±0.3 (Ikenne) to 8.7±0.8 (Mokwa),&#13;
respectively. The MARS increased β-carotene and PVA by 25.0% and 15.0%,&#13;
respectively in PVASYNHGA, and α-carotene by 5.0% in PVASYNHGB. Four VH&#13;
(PVASYNHGBC0/PVASYNHGAC0, PVASYNHGBC2/PVASYNHGAC0,&#13;
PVASYNHGBC0/PVASYNHGAC1 and PVASYNHGBC1/PVASYNHGAC2) had&#13;
significant MPH and SCA for GY. Only PVASYNHGBC0/PVASYNHGAC0 (4.0%),&#13;
PVASYNHGBC0/PVASYNHGAC2 (2.6%) and PVASYNHGBC0/PVASYNHGAC1&#13;
(2.3%) exhibited MPH for PVA. Three genotypes [PVASYNHGAC0 (0.7),&#13;
PVASYNHGAC1 (0.3) and PVASYNHGBC2 (0.1)] had significant GCA for GY,&#13;
while PVASYNHGAC2 (1.09) and PVASYNHGBC0 (1.27) had significant GCA for&#13;
PVA. Under MDS, significant genotypic differences were observed for GY and DTI.&#13;
Drought stress reduced GY by 31.4% (PVASYNHGBC1/PVASYNHGAC2) to 69.8%&#13;
(PVASYNHGBC1/PVASYNHGAC0). The four VH with MPH for GY out-yielded the&#13;
check by 12.7% to 16.4% and exhibited moderate to high DTI.&#13;
Marker-assisted recurrent selection improved carotenoid contents of PVASYNHGA&#13;
than PVASYNHGB. Genotypes PVASYNHGAC2 and PVASYNHGBC0 are suitable&#13;
for provitamin-A inbred line development. Drought stress reduced grain yield of theviii&#13;
maize synthetics but four varietal-cross hybrids (PVASYNHGBC0/PVASYNHGAC0,&#13;
PVASYNHGBC2/PVASYNHGAC0, PVASYNHGBC0/PVASYNHGAC1 and&#13;
PVASYNHGBC1/PVASYNHGAC2) were drought tolerant.
</description>
<dc:date>2023-07-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://hdl.handle.net/123456789/1887">
<title>YIELD OF CASSAVA (Manihot esculenta Crantz) VARIETIES AS INFLUENCED BY NPK APPLICATION AND STEM PROPERTIES IN TWO AGRO-ECOLOGIES OF NIGERIA</title>
<link>http://hdl.handle.net/123456789/1887</link>
<description>YIELD OF CASSAVA (Manihot esculenta Crantz) VARIETIES AS INFLUENCED BY NPK APPLICATION AND STEM PROPERTIES IN TWO AGRO-ECOLOGIES OF NIGERIA
OKETADE, ELIZABETH IFEOLUWA
Cassava is a major staple and commercial crop in the tropics, its yield is constrained by&#13;
factors such as decline in soil fertility and use of inappropriate planting materials.&#13;
Fertiliser application and use of appropriate planting materials could improve yield of&#13;
suitable cassava varieties. However, there is dearth in knowledge on appropriate fertiliser&#13;
formulations, application rate and qualities of stem cuttings for improved cassava&#13;
varieties. Therefore, effects of different fertiliser formulations, application rates and stem&#13;
portions and lengths of stem cuttings on cassava yield were evaluated in two agroecologies of Nigeria.&#13;
Experiments were conducted at Ikenne (Rain-Forest), Ibadan and Tsonga (DerivedSavanna). Four cassava varieties: TMEB419-(V1), IBA010040-(V2), IBA011412-(V3)&#13;
and IBA070593-(V4) were planted and four fertiliser formulations [NPK15:15:15-(F1),&#13;
TSP+KCl-(F2), urea+KCl-(F3) and urea+TSP-(F4)] were applied, so as to supply 0, 45-&#13;
(R45) or 75-(R75) kg N, P2O5 and K2O/ha. The experiment was a 4 × 4 × 2 factorial in a&#13;
Randomised Complete Block Design (RCBD) with three replicates. Controls were no&#13;
fertiliser-(F0). In another experiment, the four cassava varieties with three stem portions:&#13;
Basal-(S1), Middle-(S2) and Top-(S3) and two stem cutting lengths (cm): 15-(L15) and&#13;
30-(L30) were laid out as a 4 × 3 × 2 factorial in a RCBD replicated three times. Plants&#13;
were spaced at 1.0 × 0.8 m and harvested at 12 months after planting. Data estimates on&#13;
Fresh Storage Root Yield‒FSRY (t/ha), Dry Storage Root Yield‒DSRY (t/ha) and&#13;
Plantable Stem Yield‒PSY (t/ha) were analysed using descriptive statistics and&#13;
ANOVAα0.05.&#13;
Cassava varieties, fertiliser formulations and rates and their interactions were&#13;
significantly different for all variables. Combination involving V3+F1+R75 resulted in&#13;
significantly higher FSRY than all others. The FSRY ranged from 9.5±0.6 (V4+F4+R45)&#13;
to 22.5±0.6 (V3+F1+R75). The DSRY ranged from 2.2±0.1 (V4+F4+R45) to 5.3±0.2&#13;
(V2+F2+R75), while PSY ranged from 7.8±0.3 (V1+F4+R75) to 15.4±0.3 (V2+F0). Thevi&#13;
FSRY for R75 (15.4±0.8) was higher than that of R45 and F0 by 1.1% and 11.9%,&#13;
respectively. The FSRY was in the order 29.4±0.9-Ikenne ˃24.8±0.6-Ibadan ˃18.5±0.8-&#13;
Tsonga. The order of FSRY was 22.5±0.6 (V3) ˃19.4±0.4 (V2) ˃12.7±0.3 (V1)&#13;
˃12.4±0.6 (V4). Overall, PSY for F0 was the best and increased from 12.5±0.5 (Tsonga)&#13;
to 18.1±0.4 (Ibadan) to 21.9±0.6 (Ikenne). Across the sites, FSRY ranged from 10.3±2.1&#13;
(V4+S3+L15) to 26.4±0.8 (V3+S2+L30). The DSRY ranged from 0.9±0.6 (V4+S3+L15)&#13;
to 4.7±0.6 (V2+S2+L30) and PSY ranged from 2.5±1.1 (V4+S3+L15) to 9.6±0.3&#13;
(V3+S1+L30). The DSRY of L30 was 25.2% higher than L15 (2.4±0.2) and declined&#13;
from 3.7±0.8 (Ikenne) to 3.3±0.7 (Ibadan) to 1.4±0.3 (Tsonga). The FSRY increased&#13;
from 9.8±0.6 (S3) to 11.7±0.6 (S2) to 12.1±1.2 (S1). The PSY declined from 16.5±0.6&#13;
(Ibadan) to 14.7±0.9 (Ikenne) to 9.5±1.1 (Tsonga).&#13;
Application of NPK 15:15:15 at 75 kg N, P2O5 and K2O ha-1 to TMEB419 in derived&#13;
savanna and Urea+KCl at the same rate to IBA011412 in rain forest enhanced yield of&#13;
cassava. A 30 cm basal stem cutting portion should be adopted for increased storage root&#13;
production.
</description>
<dc:date>2023-04-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://hdl.handle.net/123456789/1809">
<title>WEED MANAGEMENT IN CASSAVA (Manihot esculenta Crantz) WITH SELECTED PRE- AND POST-EMERGENCE HERBICIDES UNDER ALTERNATIVE APPLICATION SEQUENCE</title>
<link>http://hdl.handle.net/123456789/1809</link>
<description>WEED MANAGEMENT IN CASSAVA (Manihot esculenta Crantz) WITH SELECTED PRE- AND POST-EMERGENCE HERBICIDES UNDER ALTERNATIVE APPLICATION SEQUENCE
ALABI, Mariam Adenike
Cassava is a major crop in Africa, but weed management at its early growth stage is a problem.&#13;
Pre-emergence Herbicides (PrH), often supplemented with Post-emergence Herbicides (PoH),&#13;
are used for Weed Management (WM) in cassava. Delayed application of PrH could necessitate&#13;
the use of PoH before PrH. There is a dearth of information on the effects of application of PoH&#13;
before PrH as a WM strategy in cassava. Therefore, this study was conducted to evaluate some&#13;
PrH and PoH and their alternative application sequences on WM, growth and yield of cassava.&#13;
Three PrH: sulfentrazone, flumiosaxin+pyroxasulfone and indaziflam+isoxaflutole at 0.6,&#13;
0.11+0.14 and 0.068+0.20 kg a.i./ha, respectively and three PoH: clethodim+lactofen (0.21+0.41&#13;
kg a.i./ha), trifloysulfuron-sodium (5.25 g a.i./ha) and carfentrazone-ethyl (5.84 g a.i./ha) were&#13;
evaluated in cassava (TMEB419) plots planted at 1x0.8 m2. The PrH were evaluated in plots laid&#13;
in a Randomised Complete Block Design (RCBD). Plots treated with atrazine+S-metolachlor&#13;
(0.73+1.30 kg a.i./ha) plus 2-Hoe-Weeding (ASm+2HW), weed-free and a weedy-check served&#13;
as controls. Cassava Plant Height (CPH)-cm, stand count and Weed Dry Weight (WDW)-g/m2&#13;
per plot were measured at eight Weeks After Planting (WAP). In another experiment, two spray&#13;
methods (banded and broadcast) of the PoH at two WAP were evaluated on sprouted cassava in&#13;
a split-plot design. Spray methods and PoH were the main and sub-plots, respectively. Crop injury&#13;
(%) and Weed Control Efficacy (WCE)-% were assessed. Thereafter, two sequences of&#13;
application of PrH and PoH (PrH-PoH and PoH-PrH) were evaluated using split-plot&#13;
arrangements in RCBD. The PrH or banded PoH were either the main or sub-plots in the&#13;
sequences. Data were collected on WCE and cassava Storage Root Yield-SRY (t/ha). All&#13;
experiments were replicated three times. Data were analyzed using descriptive statistics and&#13;
ANOVA at α0.05.&#13;
The CPH ranged from 38.0±1.2 (sulfentrazone) to 53.2±1.3 (weed-free). Stand count ranged from&#13;
10471.3±0.0 (indaziflam+isoxaflutole) to 11976.1±0.0 (weed-free). Significant reduction (%) in&#13;
WDW relative to the maximum from weedy-check (110 g/m2) was in the order: 76.4&#13;
(sulfentrazone) &lt;82.1 (flumioxazin+pyroxasulfone) &lt;87.3 (indaziflam+isoxaflutole) &lt;89.1&#13;
(ASm+2HW) &lt;91.8 (weed-free). Broadcast spray caused 55.19 ±10.7% crop injury which was&#13;
significantly higher than 7.4 ±7.0% in banding. Crop injury of 92.2±10.7% (carfentrazone-ethyl),&#13;
54.8±10.7% (trifloysulfuron-sodium) and 19.0±7.1% (clethodim+lactofen) due to broadcastspraying were significantly higher than 6.3±7.0%, 7.8±7.0% and 8.2±7.0%, respectively in bandspraying. The WCE at 79.0±0.6% (carfentrazone-ethyl) was significantly lower than 88.4±0.6%&#13;
(trifloysulfuron-sodium) and 97.0±0.6% (clethodim+lactofen). The WCE in PrH-PoH was&#13;
significantly higher than in PoH-PrH. The WCE involving PrH-PoH application was 38.0%&#13;
(sulfentrazone), 29.4% (flumioxazin+pyroxasulfone), 28.1% (carfentrazone-ethyl) and 22.3%&#13;
(trifloysulfuron-sodium) significantly higher than those of their PoH-PrH. However, those of&#13;
indaziflam+isoxaflutole (7.0%) and clethodim+lactofen (6.3%) were not significantly different.&#13;
The SRY of 14.0±1.9 (sulfentrazone) was significantly lower than 28.7±1.9&#13;
(flumioxazin+pyroxasulfone) and 31.5±2.0 (indaziflam+isoxaflutole) across the PoH, while&#13;
22.7±1.9 (carfentrazone-ethyl), 23.9±1.9 (trifloysulfuron-sodium) and 26.7±1.9&#13;
(clethodim+lactofen) across the PrH were comparable.&#13;
Indaziflam+isoxaflutole and flumiosaxin+pyroxasulfone, and banded spray of trifloysulfuronsodium and clethodim+lactofen enhanced cassava growth and weed control efficacy. Sequences&#13;
involving clethodim+lactofen before or after indaziflam+isoxaflutole improved weed control&#13;
efficacy and yield of cassava.
</description>
<dc:date>2022-01-01T00:00:00Z</dc:date>
</item>
</rdf:RDF>
