Genetic modification, a process used to change an organism's genes and hence its characteristics, is now being used to improve trees. Through genetic modification, it is possible to create trees that produce more fruit, grow faster, or withstand adverse conditions. Planting genetically modified trees on a large scale promises to bring a number of benefits.
TPO21
First, genetically modified trees are designed to be hardier than natural trees; that is, they are more likely to survive than their unmodified counterparts. In Hawaii, for example, a new pest-resistant species of papaya tree has been developed in response to ringspot virus infestations that have repeatedly damaged the native papaya-tree population. Planting the genetically modified papayas has largely put an end to the ringspot problem.
Moreover, genetically modified trees promise to bring a number of economic benefits to those who grow them. Genetically modified trees tend to grow faster, give greater yields—of wood, fruit, or other products—and be hardier. This allows tree farmers to get faster and greater returns on their farming investment and save on pesticides as well.
Finally, the use of genetically modified trees can prevent overexploitation of wild trees. Because of the growing demand for firewood or building timber, many forests around the world are being cut down faster than they can be replaced. Introducing genetically modified trees—designed for fast growth and high yield in given geographic conditions—would satisfy the demand for wood in many of those areas and save the endangered native trees, which often include unique or rare species.
Both the reading and the lecture discuss planting genetically modified trees on a large scale. The reading implies that there are benefits from genetically modified trees. However, the professor strongly disagrees with the reading passage. Accordingly, she presents three refutations.
First of all, the reading passages mentions that the trees are hardier than other natural trees. Yet, the lecturer severely challenges the theory by arguing that the genetically modified tree can not ensure survival in any condition. Furthermore, she states that the trees not unlike other natural trees are different between individuals, they are so uniform that they might die completely if the environmental changes, such as climate or insects.
Secondly, the passage suggests that modified trees can bring about many economic benefits to those who grow them. Nevertheless, the scholar seriously contradicts the hypothesis because the trees might be more costly than natural trees. To elaborate, when the farmers grow this kind of trees, they need to collect this kind of seeds and pay the genetically modified company. As a result, the cost might be higher than growing natural crops.
Last but not least, the essay indicates that genetically modified trees can prevent overexploitation of wild trees. Once again, the speaker opposes the evidence revealed in the reading. To be more specific, the trees might compete for natural resources, such as sunlight and water, with other trees. Consequently, genetically modified plants might be harmful to other plants.
In conclusion, the professor argues against each theory in the reading. That is to say, she mentions that planting genetically modified trees on a large scale might not be beneficial.
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- Some people believe that it is important to follow traditions even when though those traditions conflict with or are quite different from their own individuals preferences Do you agree or disagree 86
- A D Teachers in the past have more influence on students than they do today 68
- In many companies there is a mentoring system senior workers in a company will be required to mentor younger workers but in recent years some companies have also required younger workers to mentor senior workers Do you agree or disagree with the following 73
Transition Words or Phrases used:
accordingly, but, consequently, first, furthermore, however, if, nevertheless, second, secondly, so, in conclusion, kind of, such as, as a result, first of all, that is to say
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 10.0 10.4613686534 96% => OK
Auxiliary verbs: 10.0 5.04856512141 198% => OK
Conjunction : 5.0 7.30242825607 68% => OK
Relative clauses : 11.0 12.0772626932 91% => OK
Pronoun: 19.0 22.412803532 85% => OK
Preposition: 23.0 30.3222958057 76% => OK
Nominalization: 3.0 5.01324503311 60% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1483.0 1373.03311258 108% => OK
No of words: 268.0 270.72406181 99% => OK
Chars per words: 5.53358208955 5.08290768461 109% => OK
Fourth root words length: 4.04607285448 4.04702891845 100% => OK
Word Length SD: 2.77696935713 2.5805825403 108% => OK
Unique words: 146.0 145.348785872 100% => OK
Unique words percentage: 0.544776119403 0.540411800872 101% => OK
syllable_count: 443.7 419.366225166 106% => OK
avg_syllables_per_word: 1.7 1.55342163355 109% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 6.0 3.25607064018 184% => OK
Article: 11.0 8.23620309051 134% => OK
Subordination: 2.0 1.25165562914 160% => OK
Conjunction: 0.0 1.51434878587 0% => OK
Preposition: 4.0 2.5761589404 155% => OK
Performance on sentences:
How many sentences: 17.0 13.0662251656 130% => OK
Sentence length: 15.0 21.2450331126 71% => The Avg. Sentence Length is relatively short.
Sentence length SD: 38.3857672586 49.2860985944 78% => OK
Chars per sentence: 87.2352941176 110.228320801 79% => OK
Words per sentence: 15.7647058824 21.698381199 73% => OK
Discourse Markers: 10.2941176471 7.06452816374 146% => OK
Paragraphs: 5.0 4.09492273731 122% => OK
Language errors: 0.0 4.19205298013 0% => OK
Sentences with positive sentiment : 6.0 4.33554083885 138% => OK
Sentences with negative sentiment : 7.0 4.45695364238 157% => OK
Sentences with neutral sentiment: 4.0 4.27373068433 94% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.177843791953 0.272083759551 65% => OK
Sentence topic coherence: 0.0647218623933 0.0996497079465 65% => OK
Sentence topic coherence SD: 0.0417020969503 0.0662205650399 63% => OK
Paragraph topic coherence: 0.113356895813 0.162205337803 70% => OK
Paragraph topic coherence SD: 0.0173080927927 0.0443174109184 39% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 12.5 13.3589403974 94% => Automated_readability_index is low.
flesch_reading_ease: 47.79 53.8541721854 89% => OK
smog_index: 8.8 5.55761589404 158% => OK
flesch_kincaid_grade: 10.3 11.0289183223 93% => OK
coleman_liau_index: 14.5 12.2367328918 118% => OK
dale_chall_readability_score: 8.68 8.42419426049 103% => OK
difficult_words: 73.0 63.6247240618 115% => OK
linsear_write_formula: 7.0 10.7273730684 65% => OK
gunning_fog: 8.0 10.498013245 76% => OK
text_standard: 9.0 11.2008830022 80% => OK
What are above readability scores?
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Rates: 80.0 out of 100
Scores by essay e-grader: 24.0 Out of 30
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.