Spines and ribs of Pilosocereus arrabidae (Lem.) Byles &amp; G.D. Rowley and allies (Cactaceae): Ecologic or genetic traits?

Menezes, Marcelo Oliveira Teles de; Taylor, Nigel; Zappi, Daniela C.; Loiola, Maria Iracema Bezerra

doi:10.1016/j.flora.2015.05.008

Cited by 12 publications

(7 citation statements)

References 25 publications

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“…It is likely that other soil characteristics, such as pH and salinity, might be important predictors As already demonstrated, cactus species are well adapted to grow and persist in environments with extreme temperatures and high solar radiation (Mauseth and Plemons-Rodriguez, 1999;Aliscioni et al, 2021), displaying particular morphological and physiological features to explore these habitats (Ehleringer et al, 1980;Albanese et al, 2019). Spines, cladode structure and shape, number of columns, and growth orientation are important features for minimizing absorption the solar radiation (Zavala-Hurtado et al, 1998;Menezes et al, 2015;Aliscioni et al, 2021), reducing damage processes associated with heat and light excess and balancing the amount of daily quanta absorbed into the photosynthetic system (Albanese et al, 2019). Recently, our research group showed positive selection signatures in genes associated with the photosynthetic system in Cereus fernambucensis (Cereeae), which reinforces the importance of solar irradiance within Cactaceae (Amaral et al, 2021).…”

Section: 1predictor Variables Of Cactaceae Endemismmentioning

confidence: 99%

Spatial patterns of evolutionary diversity in Cactaceae show low ecological representation within protected areas

Amaral

Bonatelli²,

Romeiro-Brito³

et al. 2022

Biological Conservation

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Section: 1predictor Variables Of Cactaceae Endemismmentioning

confidence: 99%

Spatial patterns of evolutionary diversity in Cactaceae show low ecological representation within protected areas

Amaral

Bonatelli²,

Romeiro-Brito³

et al. 2022

Biological Conservation

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“…Specifi cally among species of Cactaceae, there are many examples of intraspecifi c variation in vegetative characters in response to water and nutrient availability, and levels of solar radiation (Buhanan & Briggs 2010;Menezes et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Patterns of species richness and abundance among cactus communities receiving different rainfall levels in the semiarid region of Brazil

2016

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Th is study examines the variation in cacti species richness and abundance among sites with diff erent average rainfall and soil types. We assessed a total of 3,660 individuals of six species of Cactaceae: Cereus jamacaru, Melocactus zehntneri, Pilosocereus gounellei, Pilosocereus pachycladus, Tacinga inamoena, and Tacinga palmadora. Th e greatest species richness and abundance of cacti were at locations with low rainfall and more clayey soils. Th e species studied diff ered in multidimensional representation, with some species being more positively related to soils with a higher proportion of fi ne particles (M. zehntneri and P. gounellei), while others were negatively related to soils with a higher proportion of coarser particles (T. inamoena) or positively related to areas with higher rainfall and vegetation cover (C. jamacaru and P. pachycladus). Th e diff erential responses of the species of Cactaceae studied in relation to the gradients analyzed demonstrates the need for more research into the relationship between cacti and environmental variables in semiarid ecosystems with high environmental heterogeneity.

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“…The multiple regression should be tested for each region, to adapt the constants because of changes that can occur in the mean values of these variables due to genetic or environmental factors, as verified by Vázquez et al (2012), Menezes et al (2015) and DuoBu et al (2013). For the producer, these methods for estimating productivity are more practical and economical compared to methods used by Holzman et al (2014) and Li et al (2014).…”

Section: Discussionmentioning

confidence: 99%

Critical variables for estimating productivity in maize as a function of plant population and spacing

Pereira¹,

Chioderoli²,

Nascimento³

et al. 2018

Afr. J. Agric. Res.

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The objective of this study was to find a group of independent variables that would influence and estimate maize (Zea mays L.) productivity, modeled by multiple linear regression. For that, an experimental delinquency in random order was used in a 2 × 2 factorial scheme, from two populations (45,000 and 65,000 ha-1 plants) and two spacings (0.45 and 0.90 m), with 20 replicates. Soil attributes and maize production components were evaluated. The soil attributes evaluated were bulk density, macroporosity, microporosity, total porosity, soil moisture and mechanical resistance to penetration, at depths of 0-0.15 and 0.15-0.30 m. The maize production components were plant height (PH), height of the first ear insertion (HEI), stalk diameter (SD), number of rows per ear (NRE) and number of grains per row (NGR). There was a positive correlation between the variables and production per hectare, except for grain moisture, soil moisture, macroporosity (0.15-0.30 m) and microporosity (0.00-0.15 m). The number of ears per hectare, the number of grains per row and the 100-grain weight served to estimate maize productivity. The methodology applied in this study was adequate for estimating production with an accuracy of 98% and can be applied to other experiments.

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Spines and ribs of Pilosocereus arrabidae (Lem.) Byles & G.D. Rowley and allies (Cactaceae): Ecologic or genetic traits?

Cited by 12 publications

References 25 publications

Spatial patterns of evolutionary diversity in Cactaceae show low ecological representation within protected areas

Spatial patterns of evolutionary diversity in Cactaceae show low ecological representation within protected areas

Patterns of species richness and abundance among cactus communities receiving different rainfall levels in the semiarid region of Brazil

Critical variables for estimating productivity in maize as a function of plant population and spacing

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