Result of the study, showed Laduni 1B as resistant (Table 2) because it had the least browning on its leaves, stipules, stems, flowers and it also had no bud abscission in spite the high number of thrips in its flowers (Fig 2). In addition, the most pigmented genotype was Laduni 1B and its resistance may be attributed to anthocyanin pigmentation found on the flower, branches, immature pods, peduncle, stem and petiole (Data not shown).
Makoi et al., (2010), reported that the high levels anthocyanin in cowpea seed extracts lowered insect pest damage, this phenomenon could also be the reason for the variations in damage observed among studied genotypes.
@figure2
Two Malian genotypes namely CIPEA 82672 and IT82E-32 were reported as highly resistant and resistant respectively by Doumbia (2016) but CIPEA 82672 was moderately resistant and IT82E-32 was susceptible to flower bud thrips in this study.
Data from Table 3 show that the correlation between the damage score and the number of adult thrips, number of larvae were 0.001 and -0.18 respectively indicating a weak correlation. This pattern only means that there was no linear relationship between these two variables but actually there is some level of interaction which exists between these two variables. But in contrast,
Agbahoungba et al., (2017) recorded a non-significant but positive correlation between thrips count per flower and thrips damage score in Uganda.
Alabi et al., (2003) and Doumbia (2016) also recorded a strong but positive correlation between thrips damage and thrips count per flower in Nigeria and Mali respectively. The variations that exist among these two studies could be linked to the differences in selected genotypes and the agro-ecological zones in which these studies were conducted. Both factors may have had adverse effect on the population of thrips.
It can be deduced from Table 4 that the thrips damage ratings were significantly different among genotypes but in contrast there was no significant differences among the resistant, moderately resistant and susceptible cowpea genotypes in relation to the number of adult thrips and larvae counted. This suggests that all genotypes were expose to almost similar number of thrips and the defence mechanism exhibited by the resistant and moderately resistant genotypes maybe tolerance. These findings were similarly reported by
Abudulai et al., (2006) and
Agbahoungba et al., (2018). Also from previous studies by
Ta’ama
et_al(1981) and
Abudulai et al., (2006), the resistant and susceptible genotypes were selected based on the number of thrips counted per flower. But in this study it was clearly observed that there was no significant differences among most genotypes in relation to the number of thrips count. This observation was in line with the findings of
Agbahoungba et al., (2017), suggesting that resistant cowpea genotypes should not be selected solely on the number of thrips counted per flower. It is therefore important to consider the use of multiple techniques for measuring resistance of genotypes to insect pest.
There was a strong but positive correlation (r=0.70) between 50% flowering and 1
st mature pods, this indicates that early flowering genotypes are also early maturing as observed in this study (Table3). This observation affirms the reports by
Aliyu et al., (2016) and Doumbia (2016) who observed a strong correlation between 50% flowering and 1
st mature pods. These authors added that farmers’ prefer early maturing cowpea due their vigorous growth. Early maturity is a desired trait for crop improvement programmes by breeders.
The correlation between the damage score and number of days to reach 50% maturity was r= -0.21. This phenomenon was similar to the findings of
Omo-Ikerodah et al., (2009) and
Agbahoungba et al., (2017). These authors screened for thrips resistant genotypes under field condition and also reported on the negative correlation that existed between damage score and 50% maturity. It can be deduced from Table 4 that both moderately resistant genotypes (Danila and Diaye) delayed in reaching 1
st maturity but had a higher number of pods per peduncle contributing to higher numbers of pods per plant in spite of the large numbers of thrips counted per flower. This maybe be a defense mechanism adopted to escape from the damage caused on the floral parts by flower bud thrips. On the other hand, some authors also reported early flowering as a defence mechanism to escape thrips infestation
(Alabi et al., 2003; Abudulai et al., 2006). From this study, TVU 7677, was classified moderately resistant and despite the large numbers of thrips count per flower it produced more pods per plant than the resistant check (CIPEA 82672).
From Table 5, four of the principal components had eigenvalues greater than one and contributed to a cumulative variability of about 75%. In comparison, this study disagrees with the finding of
Doumbia et al., (2016) who observed three principal components contributing to 70% cumulative variations among the variables of eigenvalue greater than one. In addition, traits such as 1st mature pods, 50% flowering, emergence, number of peduncle per plant, number of pods per peduncle, total number of pods per plant contributed the highest eigenvalue (3.52) at Principal Component 1 (PC1) while damage score, number of adult thrips, number of thrips larvae and peduncle length represented an eigenvalue of 1.65 at Principal Component 2 (PC2).
The inertia obtained from the summation of both PC1 and PC2 variability percentages was 51%. This suggests that the ten variables (Table 5) are therefore important in the determination of correlated and non-correlated variables in relation to screening of cowpea genotypes for resistance to flower bud thrips.